https://github.com/ctjong27/Machine_Learning_Sandbox/blob/main/%232_COVID_Hackathon_Model_Submission_Notebook.ipynb

1. Use Google Drive link to view a folder I shared with @columbia.edu google drive users

https://drive.google.com/drive/folders/18O-BnGOIw9ZiUwy17Uk_361xyfTF-qAN?usp=sharing

2. Right click folder and click "Add shortcut to Drive"

This will be sure the zipfile in this folder is accessible in your personal drive folder

# Connect to google drive
import os
from google.colab import drive
drive.mount('/content/drive')

# content in your drive is now available via "/content/drive/My Drive"

Mounted at /content/drive

# Import data and unzip files to folder
# !unzip /content/drive/MyDrive/Projects\ in\ Advanced\ Machine\ Learning/Week\ 7/covid_radiography_data/COVID-19_Radiography_Dataset.zip
!unzip /content/drive/MyDrive/Projects/COVID-19_Radiography_Dataset.zip

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# Load libraries and then download data

import sys
import time
import cv2
import numpy as np
from matplotlib import pyplot as plt
import tensorflow as tf
import os
import zipfile

from sklearn.model_selection import train_test_split

from tensorflow.python.keras.utils import np_utils
from tensorflow.keras.models import Sequential, Model
from tensorflow.keras.layers import Dense, Dropout, Flatten, Activation, BatchNormalization
from tensorflow.python.keras.layers.convolutional import Conv2D, MaxPooling2D 
from tensorflow.keras.preprocessing.image import ImageDataGenerator
from tensorflow.keras.optimizers import Adam,SGD,Adagrad,Adadelta,RMSprop
from tensorflow.keras.applications import VGG19, ResNet50, InceptionV3

# Extracting all filenames iteratively
base_path = 'COVID-19_Radiography_Dataset'
categories = ['COVID/images', 'Normal/images', 'Viral Pneumonia/images']

# load file names to fnames list object
fnames = []
for category in categories:
    image_folder = os.path.join(base_path, category)
    file_names = os.listdir(image_folder)
    full_path = [os.path.join(image_folder, file_name) for file_name in file_names]
    fnames.append(full_path)



print('number of images for each category:', [len(f) for f in fnames])
print(fnames[0:2]) #examples of file names

number of images for each category: [3616, 10192, 1345]
[['COVID-19_Radiography_Dataset/COVID/images/COVID-1960.png', 'COVID-19_Radiography_Dataset/COVID/images/COVID-904.png', 'COVID-19_Radiography_Dataset/COVID/images/COVID-2435.png', 'COVID-19_Radiography_Dataset/COVID/images/COVID-787.png', 'COVID-19_Radiography_Dataset/COVID/images/COVID-2157.png', 'COVID-19_Radiography_Dataset/COVID/images/COVID-1257.png', 'COVID-19_Radiography_Dataset/COVID/images/COVID-3379.png', 'COVID-19_Radiography_Dataset/COVID/images/COVID-819.png', 'COVID-19_Radiography_Dataset/COVID/images/COVID-1690.png', 'COVID-19_Radiography_Dataset/COVID/images/COVID-1338.png', 'COVID-19_Radiography_Dataset/COVID/images/COVID-3508.png', 'COVID-19_Radiography_Dataset/COVID/images/COVID-1990.png', 'COVID-19_Radiography_Dataset/COVID/images/COVID-617.png', 'COVID-19_Radiography_Dataset/COVID/images/COVID-3309.png', 'COVID-19_Radiography_Dataset/COVID/images/COVID-2410.png', 'COVID-19_Radiography_Dataset/COVID/images/COVID-1926.png', 'COVID-19_Radiography_Dataset/COVID/images/COVID-1631.png', 'COVID-19_Radiography_Dataset/COVID/images/COVID-748.png', 'COVID-19_Radiography_Dataset/COVID/images/COVID-1807.png', 'COVID-19_Radiography_Dataset/COVID/images/COVID-2547.png', 'COVID-19_Radiography_Dataset/COVID/images/COVID-850.png', 'COVID-19_Radiography_Dataset/COVID/images/COVID-3587.png', 'COVID-19_Radiography_Dataset/COVID/images/COVID-2377.png', 'COVID-19_Radiography_Dataset/COVID/images/COVID-158.png', 'COVID-19_Radiography_Dataset/COVID/images/COVID-1915.png', 'COVID-19_Radiography_Dataset/COVID/images/COVID-1767.png', 'COVID-19_Radiography_Dataset/COVID/images/COVID-3090.png', 'COVID-19_Radiography_Dataset/COVID/images/COVID-3078.png', 'COVID-19_Radiography_Dataset/COVID/images/COVID-213.png', 'COVID-19_Radiography_Dataset/COVID/images/COVID-3009.png', 'COVID-19_Radiography_Dataset/COVID/images/COVID-2476.png', 'COVID-19_Radiography_Dataset/COVID/images/COVID-2846.png', 'COVID-19_Radiography_Dataset/COVID/images/COVID-2521.png', 'COVID-19_Radiography_Dataset/COVID/images/COVID-1277.png', 'COVID-19_Radiography_Dataset/COVID/images/COVID-3042.png', 'COVID-19_Radiography_Dataset/COVID/images/COVID-3477.png', 'COVID-19_Radiography_Dataset/COVID/images/COVID-3348.png', 'COVID-19_Radiography_Dataset/COVID/images/COVID-3232.png', 'COVID-19_Radiography_Dataset/COVID/images/COVID-3535.png', 'COVID-19_Radiography_Dataset/COVID/images/COVID-2880.png', 'COVID-19_Radiography_Dataset/COVID/images/COVID-3390.png', 'COVID-19_Radiography_Dataset/COVID/images/COVID-2.png', 'COVID-19_Radiography_Dataset/COVID/images/COVID-2432.png', 'COVID-19_Radiography_Dataset/COVID/images/COVID-2933.png', 'COVID-19_Radiography_Dataset/COVID/images/COVID-1412.png', 'COVID-19_Radiography_Dataset/COVID/images/COVID-2531.png', 'COVID-19_Radiography_Dataset/COVID/images/COVID-1637.png', 'COVID-19_Radiography_Dataset/COVID/images/COVID-1939.png', 'COVID-19_Radiography_Dataset/COVID/images/COVID-483.png', 'COVID-19_Radiography_Dataset/COVID/images/COVID-3552.png', 'COVID-19_Radiography_Dataset/COVID/images/COVID-3574.png', 'COVID-19_Radiography_Dataset/COVID/images/COVID-1110.png', 'COVID-19_Radiography_Dataset/COVID/images/COVID-2437.png', 'COVID-19_Radiography_Dataset/COVID/images/COVID-1975.png', 'COVID-19_Radiography_Dataset/COVID/images/COVID-1392.png', 'COVID-19_Radiography_Dataset/COVID/images/COVID-1460.png', 'COVID-19_Radiography_Dataset/COVID/images/COVID-1761.png', 'COVID-19_Radiography_Dataset/COVID/images/COVID-2575.png', 'COVID-19_Radiography_Dataset/COVID/images/COVID-65.png', 'COVID-19_Radiography_Dataset/COVID/images/COVID-943.png', 'COVID-19_Radiography_Dataset/COVID/images/COVID-3083.png', 'COVID-19_Radiography_Dataset/COVID/images/COVID-2796.png', 'COVID-19_Radiography_Dataset/COVID/images/COVID-1258.png', 'COVID-19_Radiography_Dataset/COVID/images/COVID-2619.png', 'COVID-19_Radiography_Dataset/COVID/images/COVID-1917.png', 'COVID-19_Radiography_Dataset/COVID/images/COVID-1155.png', 'COVID-19_Radiography_Dataset/COVID/images/COVID-1436.png', 'COVID-19_Radiography_Dataset/COVID/images/COVID-1746.png', 'COVID-19_Radiography_Dataset/COVID/images/COVID-794.png', 'COVID-19_Radiography_Dataset/COVID/images/COVID-1577.png', 'COVID-19_Radiography_Dataset/COVID/images/COVID-211.png', 'COVID-19_Radiography_Dataset/COVID/images/COVID-237.png', 'COVID-19_Radiography_Dataset/COVID/images/COVID-402.png', 'COVID-19_Radiography_Dataset/COVID/images/COVID-3050.png', 'COVID-19_Radiography_Dataset/COVID/images/COVID-1762.png', 'COVID-19_Radiography_Dataset/COVID/images/COVID-1984.png', 'COVID-19_Radiography_Dataset/COVID/images/COVID-3405.png', 'COVID-19_Radiography_Dataset/COVID/images/COVID-316.png', 'COVID-19_Radiography_Dataset/COVID/images/COVID-3326.png', 'COVID-19_Radiography_Dataset/COVID/images/COVID-2395.png', 'COVID-19_Radiography_Dataset/COVID/images/COVID-2448.png', 'COVID-19_Radiography_Dataset/COVID/images/COVID-1778.png', 'COVID-19_Radiography_Dataset/COVID/images/COVID-2801.png', 'COVID-19_Radiography_Dataset/COVID/images/COVID-3222.png', 'COVID-19_Radiography_Dataset/COVID/images/COVID-150.png', 'COVID-19_Radiography_Dataset/COVID/images/COVID-774.png', 'COVID-19_Radiography_Dataset/COVID/images/COVID-13.png', 'COVID-19_Radiography_Dataset/COVID/images/COVID-839.png', 'COVID-19_Radiography_Dataset/COVID/images/COVID-2854.png', 'COVID-19_Radiography_Dataset/COVID/images/COVID-223.png', 'COVID-19_Radiography_Dataset/COVID/images/COVID-2236.png', 'COVID-19_Radiography_Dataset/COVID/images/COVID-874.png', 'COVID-19_Radiography_Dataset/COVID/images/COVID-2255.png', 'COVID-19_Radiography_Dataset/COVID/images/COVID-2132.png', 'COVID-19_Radiography_Dataset/COVID/images/COVID-479.png', 'COVID-19_Radiography_Dataset/COVID/images/COVID-2747.png', 'COVID-19_Radiography_Dataset/COVID/images/COVID-474.png', 'COVID-19_Radiography_Dataset/COVID/images/COVID-2936.png', 'COVID-19_Radiography_Dataset/COVID/images/COVID-3056.png', 'COVID-19_Radiography_Dataset/COVID/images/COVID-71.png', 'COVID-19_Radiography_Dataset/COVID/images/COVID-2309.png', 'COVID-19_Radiography_Dataset/COVID/images/COVID-3560.png', 'COVID-19_Radiography_Dataset/COVID/images/COVID-1564.png', 'COVID-19_Radiography_Dataset/COVID/images/COVID-1069.png', 'COVID-19_Radiography_Dataset/COVID/images/COVID-1038.png', 'COVID-19_Radiography_Dataset/COVID/images/COVID-160.png', 'COVID-19_Radiography_Dataset/COVID/images/COVID-1419.png', 'COVID-19_Radiography_Dataset/COVID/images/COVID-2599.png', 'COVID-19_Radiography_Dataset/COVID/images/COVID-3570.png', 'COVID-19_Radiography_Dataset/COVID/images/COVID-1714.png', 'COVID-19_Radiography_Dataset/COVID/images/COVID-2544.png', 'COVID-19_Radiography_Dataset/COVID/images/COVID-1595.png', 'COVID-19_Radiography_Dataset/COVID/images/COVID-70.png', 'COVID-19_Radiography_Dataset/COVID/images/COVID-1131.png', 'COVID-19_Radiography_Dataset/COVID/images/COVID-1821.png', 'COVID-19_Radiography_Dataset/COVID/images/COVID-2743.png', 'COVID-19_Radiography_Dataset/COVID/images/COVID-2417.png', 'COVID-19_Radiography_Dataset/COVID/images/COVID-3427.png', 'COVID-19_Radiography_Dataset/COVID/images/COVID-2566.png', 'COVID-19_Radiography_Dataset/COVID/images/COVID-929.png', 'COVID-19_Radiography_Dataset/COVID/images/COVID-623.png', 'COVID-19_Radiography_Dataset/COVID/images/COVID-2278.png', 'COVID-19_Radiography_Dataset/COVID/images/COVID-1588.png', 'COVID-19_Radiography_Dataset/COVID/images/COVID-2594.png', 'COVID-19_Radiography_Dataset/COVID/images/COVID-757.png', 'COVID-19_Radiography_Dataset/COVID/images/COVID-1272.png', 'COVID-19_Radiography_Dataset/COVID/images/COVID-2267.png', 'COVID-19_Radiography_Dataset/COVID/images/COVID-3470.png', 'COVID-19_Radiography_Dataset/COVID/images/COVID-1759.png', 'COVID-19_Radiography_Dataset/COVID/images/COVID-321.png', 'COVID-19_Radiography_Dataset/COVID/images/COVID-790.png', 'COVID-19_Radiography_Dataset/COVID/images/COVID-3077.png', 'COVID-19_Radiography_Dataset/COVID/images/COVID-66.png', 'COVID-19_Radiography_Dataset/COVID/images/COVID-709.png', 'COVID-19_Radiography_Dataset/COVID/images/COVID-1495.png', 'COVID-19_Radiography_Dataset/COVID/images/COVID-1578.png', 'COVID-19_Radiography_Dataset/COVID/images/COVID-820.png', 'COVID-19_Radiography_Dataset/COVID/images/COVID-301.png', 'COVID-19_Radiography_Dataset/COVID/images/COVID-878.png', 'COVID-19_Radiography_Dataset/COVID/images/COVID-1976.png', 'COVID-19_Radiography_Dataset/COVID/images/COVID-3135.png', 'COVID-19_Radiography_Dataset/COVID/images/COVID-832.png', 'COVID-19_Radiography_Dataset/COVID/images/COVID-218.png', 'COVID-19_Radiography_Dataset/COVID/images/COVID-3014.png', 'COVID-19_Radiography_Dataset/COVID/images/COVID-3181.png', 'COVID-19_Radiography_Dataset/COVID/images/COVID-356.png', 'COVID-19_Radiography_Dataset/COVID/images/COVID-2949.png', 'COVID-19_Radiography_Dataset/COVID/images/COVID-2178.png', 'COVID-19_Radiography_Dataset/COVID/images/COVID-1881.png', 'COVID-19_Radiography_Dataset/COVID/images/COVID-3527.png', 'COVID-19_Radiography_Dataset/COVID/images/COVID-3188.png', 'COVID-19_Radiography_Dataset/COVID/images/COVID-438.png', 'COVID-19_Radiography_Dataset/COVID/images/COVID-462.png', 'COVID-19_Radiography_Dataset/COVID/images/COVID-2403.png', 'COVID-19_Radiography_Dataset/COVID/images/COVID-742.png', 'COVID-19_Radiography_Dataset/COVID/images/COVID-1900.png', 'COVID-19_Radiography_Dataset/COVID/images/COVID-1165.png', 'COVID-19_Radiography_Dataset/COVID/images/COVID-2543.png', 'COVID-19_Radiography_Dataset/COVID/images/COVID-710.png', 'COVID-19_Radiography_Dataset/COVID/images/COVID-2782.png', 'COVID-19_Radiography_Dataset/COVID/images/COVID-2292.png', 'COVID-19_Radiography_Dataset/COVID/images/COVID-3509.png', 'COVID-19_Radiography_Dataset/COVID/images/COVID-1104.png', 'COVID-19_Radiography_Dataset/COVID/images/COVID-1073.png', 'COVID-19_Radiography_Dataset/COVID/images/COVID-1641.png', 'COVID-19_Radiography_Dataset/COVID/images/COVID-805.png', 'COVID-19_Radiography_Dataset/COVID/images/COVID-46.png', 'COVID-19_Radiography_Dataset/COVID/images/COVID-1336.png', 'COVID-19_Radiography_Dataset/COVID/images/COVID-3019.png', 'COVID-19_Radiography_Dataset/COVID/images/COVID-1333.png', 'COVID-19_Radiography_Dataset/COVID/images/COVID-2322.png', 'COVID-19_Radiography_Dataset/COVID/images/COVID-307.png', 'COVID-19_Radiography_Dataset/COVID/images/COVID-3607.png', 'COVID-19_Radiography_Dataset/COVID/images/COVID-2145.png', 'COVID-19_Radiography_Dataset/COVID/images/COVID-2238.png', 'COVID-19_Radiography_Dataset/COVID/images/COVID-3035.png', 'COVID-19_Radiography_Dataset/COVID/images/COVID-1288.png', 'COVID-19_Radiography_Dataset/COVID/images/COVID-1348.png', 'COVID-19_Radiography_Dataset/COVID/images/COVID-1207.png', 'COVID-19_Radiography_Dataset/COVID/images/COVID-3176.png', 'COVID-19_Radiography_Dataset/COVID/images/COVID-2291.png', 'COVID-19_Radiography_Dataset/COVID/images/COVID-2553.png', 'COVID-19_Radiography_Dataset/COVID/images/COVID-3614.png', 'COVID-19_Radiography_Dataset/COVID/images/COVID-887.png', 'COVID-19_Radiography_Dataset/COVID/images/COVID-3118.png', 'COVID-19_Radiography_Dataset/COVID/images/COVID-637.png', 'COVID-19_Radiography_Dataset/COVID/images/COVID-2770.png', 'COVID-19_Radiography_Dataset/COVID/images/COVID-323.png', 'COVID-19_Radiography_Dataset/COVID/images/COVID-1289.png', 'COVID-19_Radiography_Dataset/COVID/images/COVID-1922.png', 'COVID-19_Radiography_Dataset/COVID/images/COVID-1680.png', 'COVID-19_Radiography_Dataset/COVID/images/COVID-701.png', 'COVID-19_Radiography_Dataset/COVID/images/COVID-1087.png', 'COVID-19_Radiography_Dataset/COVID/images/COVID-3146.png', 'COVID-19_Radiography_Dataset/COVID/images/COVID-1393.png', 'COVID-19_Radiography_Dataset/COVID/images/COVID-2604.png', 'COVID-19_Radiography_Dataset/COVID/images/COVID-1365.png', 'COVID-19_Radiography_Dataset/COVID/images/COVID-2919.png', 'COVID-19_Radiography_Dataset/COVID/images/COVID-117.png', 'COVID-19_Radiography_Dataset/COVID/images/COVID-1202.png', 'COVID-19_Radiography_Dataset/COVID/images/COVID-2858.png', 'COVID-19_Radiography_Dataset/COVID/images/COVID-1485.png', 'COVID-19_Radiography_Dataset/COVID/images/COVID-3281.png', 'COVID-19_Radiography_Dataset/COVID/images/COVID-1235.png', 'COVID-19_Radiography_Dataset/COVID/images/COVID-3406.png', 'COVID-19_Radiography_Dataset/COVID/images/COVID-2378.png', 'COVID-19_Radiography_Dataset/COVID/images/COVID-226.png', 'COVID-19_Radiography_Dataset/COVID/images/COVID-3499.png', 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#Reduce number of images to first 1345 for each category
fnames[0]=fnames[0][0:1344]
fnames[1]=fnames[1][0:1344]
fnames[2]=fnames[2][0:1344]

# Import image, load to array of shape height, width, channels, then min/max transform.
# Write preprocessor that will match up with model's expected input shape.
from keras.preprocessing import image
import numpy as np
from PIL import Image
from keras.preprocessing.image import ImageDataGenerator


image_gen = ImageDataGenerator(zoom_range=0.3)
# image_gen = ImageDataGenerator(rotation_range=45)

def preprocessor(img_path):
        img = Image.open(img_path).convert("RGB").resize((192,192)) # import image, make sure it's RGB and resize to height and width you want.
        img = (np.float32(img)-1.)/(255-1.) # min max transformation
        img=img.reshape((192,192,3)) # Create final shape as array with correct dimensions for Keras
        img = image_gen.random_transform(img) # apply random transformation

        return img



#Try on single flower file (imports file and preprocesses it to data with following shape)
preprocessor('COVID-19_Radiography_Dataset/COVID/images/COVID-2273.png').shape

(192, 192, 3)

#Import image files iteratively and preprocess them into array of correctly structured data

# Create list of file paths
image_filepaths=fnames[0]+fnames[1]+fnames[2]

# Iteratively import and preprocess data using map function

# map functions apply your preprocessor function one step at a time to each filepath
preprocessed_image_data=list(map(preprocessor,image_filepaths ))

# Object needs to be an array rather than a list for Keras (map returns to list object)
X= np.array(preprocessed_image_data) # Assigning to X to highlight that this represents feature input data for our model

len(image_filepaths)

4032

print(len(X) ) #same number of elements as filenames
print(X.shape ) #dimensions now 192,192,3 for all images
print(X.min().round() ) #min value of every image is zero
print(X.max() ) #max value of every image is one

4032
(4032, 192, 192, 3)
-0.0
1.0

len(fnames[2])

1344

# Create y data made up of correctly ordered labels from file folders
from itertools import repeat

# Recall that we have five folders with the following number of images in each folder 
#...corresponding to each flower type

print('number of images for each category:', [len(f) for f in fnames])
covid=list(repeat("COVID", 1344))
normal=list(repeat("NORMAL", 1344))
pneumonia=list(repeat("PNEUMONIA", 1344))

#combine into single list of y labels
y_labels = covid+normal+pneumonia

#check length, same as X above
print(len(y_labels) )

# Need to one hot encode for Keras.  Let's use Pandas

import pandas as pd
y=pd.get_dummies(y_labels)

display(y)

number of images for each category: [1344, 1344, 1344]
4032

	COVID	NORMAL	PNEUMONIA
0	1	0	0
1	1	0	0
2	1	0	0
3	1	0	0
4	1	0	0
...	...	...	...
4027	0	0	1
4028	0	0	1
4029	0	0	1
4030	0	0	1
4031	0	0	1

4032 rows × 3 columns

import matplotlib.pyplot as plt
from mpl_toolkits.axes_grid1 import ImageGrid
import numpy as np
import random

im1 =preprocessor(fnames[0][0]) # COVID
im2 =preprocessor(fnames[0][1]) # COVID
im3 =preprocessor(fnames[1][0]) # NORMAL
im4 =preprocessor(fnames[1][1]) # NORMAL
im5 =preprocessor(fnames[2][0]) # PNEUMONIA
im6 =preprocessor(fnames[2][1]) # PNEUMONIA

fig = plt.figure(figsize=(6., 6.))
grid = ImageGrid(fig, 111,  # similar to subplot(111)
                 nrows_ncols=(3, 2),  # creates 2x2 grid of axes
                 axes_pad=0.25,  # pad between axes in inch.
                 )

labels = ['COVID', 'COVID', 'NORMAL', 'NORMAL', 'PNEUMONIA', 'PNEUMONIA']
# for ax, im in zip(grid, [im1, im2, im3, im4, im5, im6]):
    # Iterating over the grid returns the Axes.
for i, (ax, im) in enumerate(zip(grid, [im1, im2, im3, im4, im5, im6])):
    ax.imshow(im)
    # ax.set_title(f"{labels[i]}: Image {i+1}")
    ax.set_title(f"{labels[i]}")
  
plt.show()

WARNING:matplotlib.image:Clipping input data to the valid range for imshow with RGB data ([0..1] for floats or [0..255] for integers).
WARNING:matplotlib.image:Clipping input data to the valid range for imshow with RGB data ([0..1] for floats or [0..255] for integers).
WARNING:matplotlib.image:Clipping input data to the valid range for imshow with RGB data ([0..1] for floats or [0..255] for integers).
WARNING:matplotlib.image:Clipping input data to the valid range for imshow with RGB data ([0..1] for floats or [0..255] for integers).
WARNING:matplotlib.image:Clipping input data to the valid range for imshow with RGB data ([0..1] for floats or [0..255] for integers).
WARNING:matplotlib.image:Clipping input data to the valid range for imshow with RGB data ([0..1] for floats or [0..255] for integers).

import matplotlib.pyplot as plt
from mpl_toolkits.axes_grid1 import ImageGrid
import numpy as np
import random

# im1 =preprocessor(fnames[0][0]) # COVID
# im2 =preprocessor(fnames[0][1]) # COVID
# im3 =preprocessor(fnames[1][0]) # NORMAL
# im4 =preprocessor(fnames[1][1]) # NORMAL
# im5 =preprocessor(fnames[2][0]) # PNEUMONIA
# im6 =preprocessor(fnames[2][1]) # PNEUMONIA

im1 =preprocessor(fnames[0][3]) # COVID
im2 =preprocessor(fnames[0][4]) # COVID
im3 =preprocessor(fnames[1][3]) # NORMAL
im4 =preprocessor(fnames[1][4]) # NORMAL
im5 =preprocessor(fnames[2][3]) # PNEUMONIA
im6 =preprocessor(fnames[2][4]) # PNEUMONIA

fig = plt.figure(figsize=(6., 6.))
grid = ImageGrid(fig, 111,  # similar to subplot(111)
                 nrows_ncols=(3, 2),  # creates 2x2 grid of axes
                 axes_pad=0.25,  # pad between axes in inch.
                 )

labels = ['COVID', 'COVID', 'NORMAL', 'NORMAL', 'PNEUMONIA', 'PNEUMONIA']
# for ax, im in zip(grid, [im1, im2, im3, im4, im5, im6]):
    # Iterating over the grid returns the Axes.
for i, (ax, im) in enumerate(zip(grid, [im1, im2, im3, im4, im5, im6])):
    ax.imshow(im)
    # ax.set_title(f"{labels[i]}: Image {i+1}")
    ax.set_title(f"{labels[i]}")
  
plt.show()

WARNING:matplotlib.image:Clipping input data to the valid range for imshow with RGB data ([0..1] for floats or [0..255] for integers).
WARNING:matplotlib.image:Clipping input data to the valid range for imshow with RGB data ([0..1] for floats or [0..255] for integers).
WARNING:matplotlib.image:Clipping input data to the valid range for imshow with RGB data ([0..1] for floats or [0..255] for integers).
WARNING:matplotlib.image:Clipping input data to the valid range for imshow with RGB data ([0..1] for floats or [0..255] for integers).

# ======Train test split resized images (Hackathon Note!! Use same train test split to be able to submit predictions to leaderboard!)=======================================
from sklearn.model_selection import train_test_split

X_train, X_test, y_train, y_test = train_test_split(X, y, stratify = y, test_size = 0.32, random_state = 1987)


X_test.shape, y_test.shape

((1291, 192, 192, 3), (1291, 3))

#Clear objects from memory
del(X)
del(y)
del(preprocessed_image_data)

#Save data to be able to reload quickly if memory crashes or if you run Runtime>Restart Runtime
import pickle

# Open a file and use dump()
with open('X_train.pkl', 'wb') as file:
    # A new file will be created
    pickle.dump(X_train, file)

#Save data
import pickle

# Open a file and use dump()
with open('X_test.pkl', 'wb') as file:
    # A new file will be created
    pickle.dump(X_test, file)

#Save data
import pickle

# Open a file and use dump()
with open('y_train.pkl', 'wb') as file:
    # A new file will be created
    pickle.dump(y_train, file)


# Open a file and use dump()
with open('y_test.pkl', 'wb') as file:
    # A new file will be created
    pickle.dump(y_test, file)

#If you run out of Colab memory restart runtime, reload data and try again
import pickle
  
# Open the file in binary mode
with open('X_train.pkl', 'rb') as file:
    # Call load method to deserialze
    X_train = pickle.load(file)

# Open the file in binary mode
with open('y_train.pkl', 'rb') as file:
    # Call load method to deserialze
    y_train = pickle.load(file)

#########################################
############## model 1 ##################
#########################################

import tensorflow as tf

with tf.device('/device:GPU:0'): #"/GPU:0": Short-hand notation for the first GPU of your machine that is visible to TensorFlow.

  model = tf.keras.Sequential([
    # input: images of size Sample size, height, width, channels 1x192x192x3 pixels (the three stands for RGB channels)    
    tf.keras.layers.Conv2D(kernel_size=9, filters=32, padding='same', activation='relu', input_shape=(192, 192, 3)),
    tf.keras.layers.Conv2D(kernel_size=3, filters=32, padding='same', activation='relu'),
    tf.keras.layers.MaxPooling2D(pool_size=2),
    tf.keras.layers.Conv2D(kernel_size=9, filters=64, padding='same', activation='relu'),
    tf.keras.layers.Conv2D(kernel_size=3, filters=64, padding='same', activation='relu'),
    tf.keras.layers.MaxPooling2D(pool_size=2),
    tf.keras.layers.Conv2D(kernel_size=9, filters=128, padding='same', activation='relu'),
    tf.keras.layers.Conv2D(kernel_size=3, filters=128, padding='same', activation='relu'),
    tf.keras.layers.MaxPooling2D(pool_size=2),
    tf.keras.layers.Conv2D(kernel_size=9, filters=512, padding='same', activation='relu'),
    tf.keras.layers.Conv2D(kernel_size=3, filters=512, padding='same', activation='relu'),
    tf.keras.layers.MaxPooling2D(pool_size=2),
    tf.keras.layers.Conv2D(kernel_size=9, filters=512, padding='same', activation='relu'),
    tf.keras.layers.Conv2D(kernel_size=1, filters=512, padding='same', activation='relu'),
    tf.keras.layers.Flatten(),
    # classifying into 3 categories
    tf.keras.layers.Dense(3, activation='softmax')
  ])
  #from tensorflow.python.keras.callbacks import ReduceLROnPlateau
  #red_lr= ReduceLROnPlateau(monitor='val_acc',patience=3,verbose=1,factor=0.1) # dividing lr by 10 when val_accuracy fails to improve after 3 epochs

  model.compile(
    optimizer="adam", # to use callback set lr arg such as Adam(lr=0.001) instead
    loss= 'categorical_crossentropy',
    metrics=['accuracy'])
  
  # Fitting the CNN to the Training set
  model.fit(X_train, y_train, 
                    epochs = 5, verbose=1,validation_split=.2) #, callbacks=[red_lr]) for callback that automatically adjusts lr

model.save("model1.h5", save_format="h5")

Epoch 1/5
69/69 [==============================] - 39s 307ms/step - loss: 1.2474 - accuracy: 0.3481 - val_loss: 1.0985 - val_accuracy: 0.3388
Epoch 2/5
69/69 [==============================] - 17s 249ms/step - loss: 1.1288 - accuracy: 0.3358 - val_loss: 1.0963 - val_accuracy: 0.3206
Epoch 3/5
69/69 [==============================] - 17s 250ms/step - loss: 1.0963 - accuracy: 0.3558 - val_loss: 1.0988 - val_accuracy: 0.3206
Epoch 4/5
69/69 [==============================] - 18s 254ms/step - loss: 1.0993 - accuracy: 0.3526 - val_loss: 1.0916 - val_accuracy: 0.3406
Epoch 5/5
69/69 [==============================] - 18s 254ms/step - loss: 1.5277 - accuracy: 0.3850 - val_loss: 1.1020 - val_accuracy: 0.3206

#########################################
############## model 2 ##################
#########################################

import tensorflow as tf
from tensorflow.keras.applications import VGG16


with tf.device('/device:GPU:0'): #"/GPU:0": Short-hand notation for the first GPU of your machine that is visible to TensorFlow.


  # Load the VGG16 model
  base_model = VGG16(input_shape=(192, 192, 3), include_top=False, weights='imagenet')
  base_model.trainable = False
  # base_model.summary()

  model = tf.keras.Sequential([
    base_model,
    # input: images of size Sample size, height, width, channels 1x192x192x3 pixels (the three stands for RGB channels)    
    tf.keras.layers.Conv2D(kernel_size=3, filters=32, padding='same', activation='relu', input_shape=(192, 192, 3)),
    tf.keras.layers.Conv2D(kernel_size=1, filters=32, padding='same', activation='relu'),
    # tf.keras.layers.MaxPooling2D(pool_size=2),
    tf.keras.layers.Conv2D(kernel_size=3, filters=64, padding='same', activation='relu'),
    tf.keras.layers.Conv2D(kernel_size=1, filters=64, padding='same', activation='relu'),
    # tf.keras.layers.MaxPooling2D(pool_size=2),
    tf.keras.layers.Conv2D(kernel_size=3, filters=128, padding='same', activation='relu'),
    tf.keras.layers.Conv2D(kernel_size=1, filters=128, padding='same', activation='relu'),
    # tf.keras.layers.MaxPooling2D(pool_size=2),
    tf.keras.layers.Conv2D(kernel_size=3, filters=512, padding='same', activation='relu'),
    tf.keras.layers.Conv2D(kernel_size=1, filters=512, padding='same', activation='relu'),
    # tf.keras.layers.MaxPooling2D(pool_size=2),
    tf.keras.layers.Conv2D(kernel_size=3, filters=512, padding='same', activation='relu'),
    tf.keras.layers.Conv2D(kernel_size=1, filters=512, padding='same', activation='relu'),
    tf.keras.layers.Flatten(),
    # classifying into 3 categories
    tf.keras.layers.Dense(3, activation='softmax')
  ])
  #from tensorflow.python.keras.callbacks import ReduceLROnPlateau
  #red_lr= ReduceLROnPlateau(monitor='val_acc',patience=3,verbose=1,factor=0.1) # dividing lr by 10 when val_accuracy fails to improve after 3 epochs

  model.compile(
    optimizer="adam", # to use callback set lr arg such as Adam(lr=0.001) instead
    loss= 'categorical_crossentropy',
    metrics=['accuracy'])
  
  # Fitting the CNN to the Training set
  model.fit(X_train, y_train, 
                    epochs = 5, verbose=1,validation_split=.2) #, callbacks=[red_lr]) for callback that automatically adjusts lr

model.save("model2.h5", save_format="h5")

Downloading data from https://storage.googleapis.com/tensorflow/keras-applications/vgg16/vgg16_weights_tf_dim_ordering_tf_kernels_notop.h5
58889256/58889256 [==============================] - 0s 0us/step
Epoch 1/5
69/69 [==============================] - 32s 209ms/step - loss: 1.0078 - accuracy: 0.4320 - val_loss: 0.7146 - val_accuracy: 0.6193
Epoch 2/5
69/69 [==============================] - 10s 139ms/step - loss: 0.6911 - accuracy: 0.6359 - val_loss: 0.6900 - val_accuracy: 0.6721
Epoch 3/5
69/69 [==============================] - 10s 140ms/step - loss: 0.5031 - accuracy: 0.7810 - val_loss: 0.4988 - val_accuracy: 0.7814
Epoch 4/5
69/69 [==============================] - 9s 127ms/step - loss: 0.3873 - accuracy: 0.8472 - val_loss: 0.4081 - val_accuracy: 0.8288
Epoch 5/5
69/69 [==============================] - 9s 129ms/step - loss: 0.3576 - accuracy: 0.8650 - val_loss: 0.3119 - val_accuracy: 0.8652

#########################################
############## model 3 ##################
#########################################

import tensorflow as tf

with tf.device('/device:GPU:0'): #"/GPU:0": Short-hand notation for the first GPU of your machine that is visible to TensorFlow.

  model = tf.keras.Sequential([
    # input: images of size Sample size, height, width, channels 1x192x192x3 pixels (the three stands for RGB channels)    
    tf.keras.layers.Conv2D(kernel_size=3, filters=32, padding='same', activation='relu', input_shape=(192, 192, 3)),
    tf.keras.layers.Conv2D(kernel_size=1, filters=32, padding='same', activation='relu'),
    # tf.keras.layers.MaxPooling2D(pool_size=2),
    # tf.keras.layers.Conv2D(kernel_size=3, filters=64, padding='same', activation='relu'),
    # tf.keras.layers.Conv2D(kernel_size=1, filters=64, padding='same', activation='relu'),
    # tf.keras.layers.MaxPooling2D(pool_size=2),
    # tf.keras.layers.Conv2D(kernel_size=3, filters=128, padding='same', activation='relu'),
    # tf.keras.layers.Conv2D(kernel_size=1, filters=128, padding='same', activation='relu'),
    # tf.keras.layers.MaxPooling2D(pool_size=2),
    # tf.keras.layers.Conv2D(kernel_size=3, filters=512, padding='same', activation='relu'),
    # tf.keras.layers.Conv2D(kernel_size=1, filters=512, padding='same', activation='relu'),
    # tf.keras.layers.MaxPooling2D(pool_size=2),
    # tf.keras.layers.Conv2D(kernel_size=3, filters=512, padding='same', activation='relu'),
    # tf.keras.layers.Conv2D(kernel_size=1, filters=512, padding='same', activation='relu'),
    tf.keras.layers.Flatten(),
    # classifying into 3 categories
    tf.keras.layers.Dense(3, activation='softmax')
  ])
  #from tensorflow.python.keras.callbacks import ReduceLROnPlateau
  #red_lr= ReduceLROnPlateau(monitor='val_acc',patience=3,verbose=1,factor=0.1) # dividing lr by 10 when val_accuracy fails to improve after 3 epochs

  model.compile(
    optimizer="adam", # to use callback set lr arg such as Adam(lr=0.001) instead
    loss= 'categorical_crossentropy',
    metrics=['accuracy'])
  
  # Fitting the CNN to the Training set
  model.fit(X_train, y_train, 
                    epochs = 5, verbose=1,validation_split=.2) #, callbacks=[red_lr]) for callback that automatically adjusts lr

model.save("model3.h5", save_format="h5")

Epoch 1/5
69/69 [==============================] - 4s 48ms/step - loss: 5.4073 - accuracy: 0.5926 - val_loss: 0.5908 - val_accuracy: 0.7140
Epoch 2/5
69/69 [==============================] - 3s 46ms/step - loss: 0.5926 - accuracy: 0.7272 - val_loss: 0.5710 - val_accuracy: 0.7450
Epoch 3/5
69/69 [==============================] - 3s 48ms/step - loss: 0.4721 - accuracy: 0.7929 - val_loss: 0.5064 - val_accuracy: 0.7760
Epoch 4/5
69/69 [==============================] - 3s 45ms/step - loss: 0.3621 - accuracy: 0.8508 - val_loss: 0.5495 - val_accuracy: 0.7614
Epoch 5/5
69/69 [==============================] - 3s 48ms/step - loss: 0.2698 - accuracy: 0.8978 - val_loss: 0.5941 - val_accuracy: 0.7523

# #########################################
# ############## model 4 ##################
# #########################################



# import tensorflow as tf
# from sklearn.model_selection import GridSearchCV
# from tensorflow.keras.wrappers.scikit_learn import KerasClassifier

# def create_model(num_filters, kernel_size, learning_rate):
#     model = tf.keras.Sequential([
#         tf.keras.layers.Conv2D(kernel_size=kernel_size, filters=num_filters, padding='same', activation='relu', input_shape=(192, 192, 3)),
#         tf.keras.layers.Conv2D(kernel_size=1, filters=num_filters, padding='same', activation='relu'),
#         tf.keras.layers.Flatten(),
#         tf.keras.layers.Dense(3, activation='softmax')
#     ])
#     optimizer = tf.keras.optimizers.Adam(lr=learning_rate)
#     model.compile(optimizer=optimizer, loss='categorical_crossentropy', metrics=['accuracy'])
#     return model

# model = KerasClassifier(build_fn=create_model, verbose=1)

# param_grid = {
#     'num_filters': [32],
#     'kernel_size': [3],
#     'learning_rate': [0.001, 0.0001],
#     'epochs': [3],
#     'verbose': [1],
#     'validation_split': [0.1, 0.2]
# }

# grid = GridSearchCV(estimator=model, param_grid=param_grid, cv=3)
# grid_result = grid.fit(X_train, y_train)

# print("Best: %f using %s" % (grid_result.best_score_, grid_result.best_params_))

# Begin to submit models to image classification leaderboard
! pip install aimodelshare --upgrade
# Restart session Runtime > Restart runtime

Looking in indexes: https://pypi.org/simple, https://us-python.pkg.dev/colab-wheels/public/simple/
Collecting aimodelshare
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Requirement already satisfied: scikit-learn==1.2.1 in /usr/local/lib/python3.9/dist-packages (from aimodelshare) (1.2.1)
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  Downloading botocore-1.29.82-py3-none-any.whl (10.5 MB)
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  Downloading Pympler-0.9.tar.gz (178 kB)
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# Save preprocessor function (may need to reload function in cell above)
import aimodelshare as ai
ai.export_preprocessor(preprocessor,"")

# Save tf.keras model (or any tensorflow model) to local ONNX file
from aimodelshare.aimsonnx import model_to_onnx

Your preprocessor is now saved to 'preprocessor.zip'

#Use X_test data to generate model predictions and make leaderboard submission

#Generate and save predictions

#Load preprocessed data
#If you run out of Colab memory restart runtime, reload data and try again
import pickle
  
# Open the file in binary mode
with open('X_test.pkl', 'rb') as file:
    # Call load method to deserialze
    X_test = pickle.load(file)

# Open the file in binary mode
with open('y_train.pkl', 'rb') as file:
    # Call load method to deserialze
    y_train = pickle.load(file)
    
prediction_column_index=model.predict(X_test).argmax(axis=1)

# extract correct prediction labels 
prediction_labels = [y_train.columns[i] for i in prediction_column_index]

WARNING:tensorflow:AutoGraph could not transform <function Model.make_predict_function.<locals>.predict_function at 0x7f3edeb17550> and will run it as-is.
Please report this to the TensorFlow team. When filing the bug, set the verbosity to 10 (on Linux, `export AUTOGRAPH_VERBOSITY=10`) and attach the full output.
Cause: closure mismatch, requested ('self', 'step_function'), but source function had ()
To silence this warning, decorate the function with @tf.autograph.experimental.do_not_convert

WARNING: AutoGraph could not transform <function Model.make_predict_function.<locals>.predict_function at 0x7f3edeb17550> and will run it as-is.
Please report this to the TensorFlow team. When filing the bug, set the verbosity to 10 (on Linux, `export AUTOGRAPH_VERBOSITY=10`) and attach the full output.
Cause: closure mismatch, requested ('self', 'step_function'), but source function had ()
To silence this warning, decorate the function with @tf.autograph.experimental.do_not_convert
41/41 [==============================] - 7s 146ms/step

# Reload model and data
import tensorflow as tf
model = tf.keras.models.load_model('model1.h5',compile=False)
model.compile(
    optimizer="adam", # to use callback set lr arg such as Adam(lr=0.001) instead
    loss= 'categorical_crossentropy',
    metrics=['accuracy'])
model.summary()

onnx_model = model_to_onnx(model, framework='keras',
                          transfer_learning=False,
                          deep_learning=True)

with open("model.onnx", "wb") as f:
    f.write(onnx_model.SerializeToString())

apiurl='https://bb4mkgq8sb.execute-api.us-east-2.amazonaws.com/prod/m'
3
import aimodelshare as ai
experiment= ai.Experiment(apiurl)

from aimodelshare.aws import set_credentials
set_credentials(apiurl=apiurl)

# Submit Model 1 to Competition Leaderboard
experiment.submit_model(model_filepath = "model.onnx",
                                 preprocessor_filepath="preprocessor.zip",
                                 prediction_submission=prediction_labels)

data = experiment.get_leaderboard()
experiment.stylize_leaderboard(data)

Model: "sequential"
_________________________________________________________________
 Layer (type)                Output Shape              Param #   
=================================================================
 conv2d (Conv2D)             (None, 192, 192, 32)      7808      
                                                                 
 conv2d_1 (Conv2D)           (None, 192, 192, 32)      9248      
                                                                 
 max_pooling2d (MaxPooling2D  (None, 96, 96, 32)       0         
 )                                                               
                                                                 
 conv2d_2 (Conv2D)           (None, 96, 96, 64)        165952    
                                                                 
 conv2d_3 (Conv2D)           (None, 96, 96, 64)        36928     
                                                                 
 max_pooling2d_1 (MaxPooling  (None, 48, 48, 64)       0         
 2D)                                                             
                                                                 
 conv2d_4 (Conv2D)           (None, 48, 48, 128)       663680    
                                                                 
 conv2d_5 (Conv2D)           (None, 48, 48, 128)       147584    
                                                                 
 max_pooling2d_2 (MaxPooling  (None, 24, 24, 128)      0         
 2D)                                                             
                                                                 
 conv2d_6 (Conv2D)           (None, 24, 24, 512)       5308928   
                                                                 
 conv2d_7 (Conv2D)           (None, 24, 24, 512)       2359808   
                                                                 
 max_pooling2d_3 (MaxPooling  (None, 12, 12, 512)      0         
 2D)                                                             
                                                                 
 conv2d_8 (Conv2D)           (None, 12, 12, 512)       21234176  
                                                                 
 conv2d_9 (Conv2D)           (None, 12, 12, 512)       262656    
                                                                 
 flatten (Flatten)           (None, 73728)             0         
                                                                 
 dense (Dense)               (None, 3)                 221187    
                                                                 
=================================================================
Total params: 30,417,955
Trainable params: 30,417,955
Non-trainable params: 0
_________________________________________________________________
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	accuracy	f1_score	precision	recall	ml_framework	transfer_learning	deep_learning	model_type	depth	num_params	averagepooling2d_layers	conv2d_layers	batchnormalization_layers	dense_layers	maxpooling2d_layers	inputlayer_layers	add_layers	globalaveragepooling2d_layers	zeropadding2d_layers	dropout_layers	flatten_layers	concatenate_layers	relu_act	softmax_act	loss	optimizer	memory_size	team	username	version
0	96.36%	96.37%	96.38%	96.36%	unknown	nan	nan	unknown	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	francesyang	23
1	96.28%	96.27%	96.30%	96.28%	unknown	nan	nan	unknown	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	francesyang	22
2	95.82%	95.82%	95.88%	95.82%	unknown	nan	nan	unknown	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	francesyang	20
3	95.58%	95.59%	95.60%	95.58%	unknown	nan	nan	unknown	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	francesyang	9
4	94.42%	94.42%	94.44%	94.42%	keras	nan	True	Sequential	26.000000	117651.000000	nan	10.000000	9.000000	1.000000	5.000000	nan	nan	nan	nan	nan	1.000000	nan	10.000000	1.000000	str	Adam	478136.000000	nan	oliverhegi	78
5	94.04%	94.03%	94.03%	94.03%	keras	nan	True	Sequential	25.000000	37859.000000	nan	10.000000	9.000000	1.000000	4.000000	nan	nan	nan	nan	nan	1.000000	nan	10.000000	1.000000	str	Adam	159016.000000	nan	sofiazaidman	186
6	93.73%	93.71%	93.71%	93.72%	keras	True	True	Functional	219.000000	21808931.000000	9.000000	94.000000	94.000000	1.000000	4.000000	1.000000	nan	1.000000	nan	nan	nan	15.000000	94.000000	1.000000	str	Adam	87285904.000000	nan	hal2148	18
7	93.65%	93.66%	93.79%	93.65%	keras	nan	True	Sequential	25.000000	37859.000000	nan	10.000000	9.000000	1.000000	4.000000	nan	nan	nan	nan	nan	1.000000	nan	10.000000	1.000000	str	Adam	159016.000000	nan	sofiazaidman	184
8	93.65%	93.66%	93.79%	93.65%	keras	nan	True	Sequential	25.000000	37859.000000	nan	10.000000	9.000000	1.000000	4.000000	nan	nan	nan	nan	nan	1.000000	nan	10.000000	1.000000	str	Adam	159016.000000	nan	sofiazaidman	185
9	92.87%	92.86%	92.86%	92.87%	keras	nan	True	Sequential	25.000000	58147.000000	nan	10.000000	9.000000	1.000000	4.000000	nan	nan	nan	nan	nan	1.000000	nan	10.000000	1.000000	str	Adam	240120.000000	nan	sofiazaidman	82
10	92.72%	92.68%	92.72%	92.71%	keras	nan	True	Sequential	19.000000	3686819.000000	nan	12.000000	nan	1.000000	5.000000	nan	nan	nan	nan	nan	1.000000	nan	12.000000	1.000000	str	Adam	14751136.000000	nan	Chen	87
11	92.49%	92.46%	92.50%	92.48%	keras	nan	True	Sequential	30.000000	58339.000000	nan	12.000000	11.000000	1.000000	5.000000	nan	nan	nan	nan	nan	1.000000	nan	12.000000	1.000000	str	Adam	242472.000000	nan	sofiazaidman	100
12	92.18%	92.11%	92.44%	92.17%	keras	True	True	Functional	25.000000	21867987.000000	nan	16.000000	nan	2.000000	5.000000	1.000000	nan	nan	nan	nan	1.000000	nan	17.000000	1.000000	function	Adam	87477176.000000	7.000000	adrianwang	115
13	91.71%	91.66%	91.68%	91.71%	keras	nan	True	Sequential	16.000000	3811619.000000	nan	10.000000	nan	1.000000	4.000000	nan	nan	nan	nan	nan	1.000000	nan	10.000000	1.000000	str	Adam	15249712.000000	nan	hal2148	14
14	91.48%	91.51%	91.65%	91.48%	keras	nan	True	Sequential	24.000000	3820963.000000	nan	10.000000	8.000000	1.000000	4.000000	nan	nan	nan	nan	nan	1.000000	nan	10.000000	1.000000	str	Adam	15290936.000000	nan	sofiazaidman	62
15	91.32%	91.32%	91.36%	91.32%	keras	nan	True	Sequential	16.000000	7179555.000000	nan	10.000000	nan	1.000000	4.000000	nan	nan	nan	nan	nan	1.000000	nan	10.000000	1.000000	str	Adam	28721448.000000	nan	jer2240	158
16	91.32%	91.32%	91.36%	91.32%	keras	nan	True	Sequential	8.000000	1794095.000000	nan	4.000000	1.000000	1.000000	1.000000	nan	nan	nan	nan	nan	1.000000	nan	4.000000	1.000000	str	Adam	7178376.000000	nan	jer2240	160
17	91.09%	91.10%	91.16%	91.09%	keras	nan	True	Sequential	16.000000	3811619.000000	nan	10.000000	nan	1.000000	4.000000	nan	nan	nan	nan	nan	1.000000	nan	10.000000	1.000000	str	Adam	15249712.000000	6.000000	bobbie8881	10
18	91.01%	91.07%	91.45%	91.02%	keras	nan	True	Sequential	16.000000	3596579.000000	nan	10.000000	nan	1.000000	4.000000	nan	nan	nan	nan	nan	1.000000	nan	10.000000	1.000000	str	Adam	14389552.000000	nan	jer2240	63
19	91.09%	91.03%	91.12%	91.09%	keras	nan	True	Sequential	19.000000	3877923.000000	nan	12.000000	nan	1.000000	5.000000	nan	nan	nan	nan	nan	1.000000	nan	12.000000	1.000000	str	Adam	15515528.000000	nan	sdp2158	157
20	90.86%	90.90%	90.98%	90.86%	keras	True	True	Functional	219.000000	21808931.000000	9.000000	94.000000	94.000000	1.000000	4.000000	1.000000	nan	1.000000	nan	nan	nan	15.000000	94.000000	1.000000	str	Adam	87285904.000000	nan	hal2148	19
21	90.55%	90.57%	91.00%	90.55%	keras	nan	True	Sequential	17.000000	115795.000000	nan	10.000000	nan	1.000000	5.000000	nan	nan	nan	nan	nan	1.000000	nan	10.000000	1.000000	str	Adam	466416.000000	nan	oliverhegi	75
22	90.01%	90.15%	91.61%	90.01%	keras	True	True	Functional	25.000000	21867987.000000	nan	16.000000	nan	2.000000	5.000000	1.000000	nan	nan	nan	nan	1.000000	nan	17.000000	1.000000	function	Adam	87477176.000000	7.000000	adrianwang	109
23	90.32%	90.26%	90.28%	90.31%	keras	nan	True	Sequential	16.000000	3811619.000000	nan	10.000000	nan	1.000000	4.000000	nan	nan	nan	nan	nan	1.000000	nan	10.000000	1.000000	str	Adam	15249712.000000	6.000000	bobbie8881	27
24	90.32%	90.26%	90.28%	90.31%	keras	nan	True	Sequential	16.000000	3811619.000000	nan	10.000000	nan	1.000000	4.000000	nan	nan	nan	nan	nan	1.000000	nan	10.000000	1.000000	str	Adam	15249712.000000	nan	bobbie8881	26
25	89.39%	89.40%	90.24%	89.39%	keras	nan	True	Functional	44.000000	459971.000000	nan	16.000000	16.000000	1.000000	4.000000	1.000000	nan	1.000000	nan	nan	nan	5.000000	16.000000	1.000000	str	Adam	1852568.000000	nan	ran_liao	74
26	89.39%	89.26%	89.68%	89.38%	keras	nan	True	Functional	25.000000	22089219.000000	nan	16.000000	nan	2.000000	5.000000	1.000000	nan	nan	nan	nan	1.000000	nan	17.000000	1.000000	str	Adam	88362152.000000	nan	Chen	76
27	89.16%	89.18%	89.79%	89.15%	keras	nan	True	Sequential	16.000000	56995.000000	nan	10.000000	nan	1.000000	4.000000	nan	nan	nan	nan	nan	1.000000	nan	10.000000	1.000000	str	Adam	231216.000000	nan	sofiazaidman	11
28	89.08%	89.19%	89.69%	89.08%	keras	nan	True	Sequential	16.000000	3811619.000000	nan	10.000000	nan	1.000000	4.000000	nan	nan	nan	nan	nan	1.000000	nan	10.000000	1.000000	str	Adam	15249712.000000	nan	francesyang	7
29	89.08%	89.15%	89.35%	89.08%	keras	nan	True	Sequential	12.000000	1793199.000000	3.000000	6.000000	1.000000	1.000000	nan	nan	nan	nan	nan	nan	1.000000	nan	6.000000	1.000000	str	Adam	7175400.000000	nan	jer2240	161
30	89.08%	89.15%	89.35%	89.08%	keras	nan	True	Sequential	12.000000	1793199.000000	3.000000	6.000000	1.000000	1.000000	nan	nan	nan	nan	nan	nan	1.000000	nan	6.000000	1.000000	str	Adam	7175400.000000	nan	jer2240	169
31	89.00%	88.96%	88.94%	89.00%	keras	nan	True	Sequential	31.000000	18507011.000000	nan	23.000000	nan	1.000000	5.000000	1.000000	nan	nan	nan	nan	1.000000	nan	23.000000	1.000000	str	Adam	74035032.000000	nan	cj2733	199
32	89.00%	88.96%	88.94%	89.00%	keras	nan	True	Sequential	4.000000	3540899.000000	nan	2.000000	nan	1.000000	nan	nan	nan	nan	nan	nan	1.000000	nan	2.000000	1.000000	str	Adam	14164520.000000	nan	cj2733	200
33	89.00%	88.96%	88.94%	89.00%	keras	nan	True	Sequential	16.000000	30417955.000000	nan	10.000000	nan	1.000000	4.000000	nan	nan	nan	nan	nan	1.000000	nan	10.000000	1.000000	str	Adam	121675048.000000	nan	cj2733	198
34	88.69%	88.46%	88.93%	88.68%	keras	True	True	Functional	220.000000	25473251.000000	9.000000	94.000000	94.000000	2.000000	4.000000	1.000000	nan	nan	nan	nan	1.000000	15.000000	95.000000	1.000000	str	Adam	101943424.000000	nan	francesyang	8
35	88.61%	88.61%	88.79%	88.61%	keras	nan	True	Sequential	16.000000	3811619.000000	nan	10.000000	nan	1.000000	4.000000	nan	nan	nan	nan	nan	1.000000	nan	10.000000	1.000000	str	Adam	15249704.000000	7.000000	lprockop	111
36	88.30%	88.36%	88.78%	88.30%	keras	nan	True	Sequential	16.000000	3811619.000000	nan	10.000000	nan	1.000000	4.000000	nan	nan	nan	nan	nan	1.000000	nan	10.000000	1.000000	str	Adam	15249712.000000	nan	mcmurrym	34
37	88.07%	88.05%	88.60%	88.07%	keras	nan	True	Sequential	16.000000	29251.000000	nan	10.000000	nan	1.000000	4.000000	nan	nan	nan	nan	nan	1.000000	nan	10.000000	1.000000	str	Adam	120240.000000	nan	sofiazaidman	21
38	87.99%	88.02%	88.09%	87.99%	keras	nan	True	Functional	14.000000	1852707.000000	3.000000	8.000000	nan	1.000000	nan	1.000000	nan	nan	nan	nan	1.000000	nan	8.000000	1.000000	str	Adam	7413512.000000	nan	jer2240	183
39	87.76%	87.69%	88.23%	87.76%	keras	nan	True	Sequential	31.000000	18507011.000000	nan	23.000000	nan	1.000000	5.000000	1.000000	nan	nan	nan	nan	1.000000	nan	23.000000	1.000000	str	Adam	74035032.000000	nan	cj2733	196
40	87.76%	87.69%	88.23%	87.76%	keras	nan	True	Sequential	4.000000	3540899.000000	nan	2.000000	nan	1.000000	nan	nan	nan	nan	nan	nan	1.000000	nan	2.000000	1.000000	str	Adam	14164520.000000	nan	cj2733	197
41	87.76%	87.69%	88.23%	87.76%	keras	nan	True	Sequential	16.000000	30417955.000000	nan	10.000000	nan	1.000000	4.000000	nan	nan	nan	nan	nan	1.000000	nan	10.000000	1.000000	str	Adam	121675048.000000	nan	cj2733	195
42	87.68%	87.60%	87.63%	87.68%	keras	True	True	Functional	219.000000	21808931.000000	9.000000	94.000000	94.000000	1.000000	4.000000	1.000000	nan	1.000000	nan	nan	nan	15.000000	94.000000	1.000000	str	Adam	87285904.000000	nan	hal2148	17
43	86.52%	86.49%	88.46%	86.52%	keras	nan	True	Sequential	26.000000	3821603.000000	nan	10.000000	10.000000	1.000000	4.000000	nan	nan	nan	nan	nan	1.000000	nan	10.000000	1.000000	str	Adam	15294504.000000	nan	tinaz0407	64
44	86.99%	87.14%	87.73%	86.99%	keras	nan	True	Functional	11.000000	999715.000000	2.000000	6.000000	nan	1.000000	nan	1.000000	nan	nan	nan	nan	1.000000	nan	6.000000	1.000000	str	Adam	4000936.000000	nan	jer2240	174
45	86.29%	85.96%	86.92%	86.28%	keras	nan	True	Functional	25.000000	22089219.000000	nan	16.000000	nan	2.000000	5.000000	1.000000	nan	nan	nan	nan	1.000000	nan	17.000000	1.000000	str	Adam	88362104.000000	nan	MengYang	120
46	85.36%	84.78%	87.45%	85.35%	keras	nan	True	Sequential	19.000000	4596515.000000	nan	12.000000	nan	1.000000	5.000000	nan	nan	nan	nan	nan	1.000000	nan	12.000000	1.000000	nan	NoneType	18389896.000000	nan	sdp2158	156
47	85.75%	85.58%	85.74%	85.74%	keras	nan	True	Sequential	6.000000	7090627.000000	nan	nan	nan	5.000000	nan	nan	nan	nan	nan	nan	1.000000	nan	4.000000	1.000000	str	SGD	28363912.000000	nan	hal2148	13
48	85.21%	84.95%	85.93%	85.20%	keras	True	True	Functional	219.000000	21808931.000000	9.000000	94.000000	94.000000	1.000000	4.000000	1.000000	nan	1.000000	nan	nan	nan	15.000000	94.000000	1.000000	str	Adam	87285904.000000	nan	sofiazaidman	12
49	83.97%	83.48%	84.67%	83.96%	unknown	nan	nan	unknown	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	halfbaked_em	85
50	83.97%	83.48%	84.67%	83.96%	unknown	nan	nan	unknown	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	halfbaked_em	86
51	83.97%	83.48%	84.67%	83.96%	unknown	nan	nan	unknown	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	halfbaked_em	84
52	83.97%	83.48%	84.67%	83.96%	unknown	nan	nan	unknown	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	halfbaked_em	83
53	83.19%	83.15%	83.62%	83.18%	keras	True	True	Functional	21.000000	14716227.000000	nan	13.000000	nan	1.000000	5.000000	1.000000	nan	1.000000	nan	nan	nan	nan	13.000000	1.000000	str	Adam	58869040.000000	nan	hal2148	16
54	82.65%	82.85%	86.12%	82.65%	keras	nan	True	Sequential	23.000000	19466819.000000	nan	13.000000	nan	3.000000	5.000000	1.000000	nan	nan	nan	nan	1.000000	nan	15.000000	1.000000	str	Adam	77871864.000000	nan	mymstella	167
55	82.65%	82.85%	86.12%	82.65%	unknown	nan	nan	unknown	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	mymstella	168
56	83.04%	82.95%	83.06%	83.03%	keras	True	True	Functional	222.000000	23016483.000000	9.000000	94.000000	94.000000	4.000000	4.000000	1.000000	nan	1.000000	nan	nan	nan	15.000000	97.000000	1.000000	str	Adam	92116792.000000	nan	MengYang	134
57	82.49%	82.39%	82.35%	82.49%	keras	True	True	Sequential	5.000000	36967811.000000	nan	1.000000	nan	2.000000	1.000000	nan	nan	nan	nan	nan	1.000000	nan	2.000000	1.000000	str	Adam	147872136.000000	nan	mymstella	181
58	82.49%	82.39%	82.35%	82.49%	unknown	nan	nan	unknown	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	mymstella	180
59	82.49%	82.39%	82.35%	82.49%	keras	True	True	Sequential	5.000000	36967811.000000	nan	1.000000	nan	2.000000	1.000000	nan	nan	nan	nan	nan	1.000000	nan	2.000000	1.000000	str	Adam	147872136.000000	nan	mymstella	179
60	82.34%	82.14%	82.07%	82.33%	keras	nan	True	Sequential	19.000000	6268195.000000	nan	12.000000	nan	1.000000	5.000000	nan	nan	nan	nan	nan	1.000000	nan	12.000000	1.000000	nan	NoneType	25076616.000000	nan	sdp2158	136
61	81.80%	81.74%	82.37%	81.79%	keras	True	True	Functional	222.000000	23016483.000000	9.000000	94.000000	94.000000	4.000000	4.000000	1.000000	nan	1.000000	nan	nan	nan	15.000000	97.000000	1.000000	str	Adam	92116792.000000	nan	MengYang	132
62	81.49%	81.61%	83.28%	81.49%	unknown	nan	nan	unknown	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	halfbaked_em	80
63	81.87%	81.56%	81.94%	81.86%	keras	nan	True	Sequential	16.000000	3688739.000000	nan	10.000000	nan	1.000000	4.000000	nan	nan	nan	nan	nan	1.000000	nan	10.000000	1.000000	str	Adam	14758192.000000	nan	jer2240	37
64	81.49%	80.63%	82.91%	81.48%	keras	nan	True	Functional	25.000000	22089219.000000	nan	16.000000	nan	2.000000	5.000000	1.000000	nan	nan	nan	nan	1.000000	nan	17.000000	1.000000	str	Adam	88362152.000000	6.000000	bobbie8881	28
65	81.18%	79.73%	84.34%	81.16%	keras	nan	True	Functional	27.000000	29626691.000000	nan	16.000000	nan	4.000000	5.000000	1.000000	nan	nan	nan	nan	1.000000	nan	19.000000	1.000000	str	Adam	118512472.000000	nan	MengYang	131
66	81.56%	81.29%	81.58%	81.56%	keras	True	True	Functional	27.000000	22125635.000000	nan	16.000000	nan	4.000000	5.000000	1.000000	nan	1.000000	nan	nan	nan	nan	19.000000	1.000000	str	SGD	88508248.000000	nan	sdp2158	188
67	81.56%	81.29%	81.58%	81.56%	keras	nan	True	Functional	27.000000	22125635.000000	nan	16.000000	nan	4.000000	5.000000	1.000000	nan	1.000000	nan	nan	nan	nan	19.000000	1.000000	str	SGD	88508248.000000	nan	sdp2158	187
68	80.87%	80.35%	81.18%	80.86%	unknown	nan	nan	unknown	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	halfbaked_em	79
69	80.25%	79.80%	80.09%	80.24%	keras	True	True	Functional	28.000000	22256195.000000	nan	16.000000	nan	5.000000	5.000000	1.000000	nan	1.000000	nan	nan	nan	nan	20.000000	1.000000	str	SGD	89030824.000000	nan	sdp2158	207
70	80.09%	79.39%	80.59%	80.08%	unknown	nan	nan	unknown	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	halfbaked_em	72
71	80.09%	79.39%	80.59%	80.08%	unknown	nan	nan	unknown	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	halfbaked_em	57
72	80.09%	79.39%	80.59%	80.08%	unknown	nan	nan	unknown	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	halfbaked_em	68
73	80.09%	79.39%	80.59%	80.08%	unknown	nan	nan	unknown	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	halfbaked_em	77
74	79.40%	79.57%	80.50%	79.39%	keras	True	True	Functional	219.000000	21808931.000000	9.000000	94.000000	94.000000	1.000000	4.000000	1.000000	nan	1.000000	nan	nan	nan	15.000000	94.000000	1.000000	function	Adam	87285864.000000	7.000000	adrianwang	107
75	79.40%	79.28%	79.24%	79.39%	unknown	nan	nan	unknown	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	amsay99	138
76	79.32%	79.18%	79.53%	79.31%	keras	nan	True	Sequential	16.000000	160163.000000	nan	10.000000	nan	1.000000	4.000000	nan	nan	nan	nan	nan	1.000000	nan	10.000000	1.000000	str	Adam	643880.000000	nan	realdfy	103
77	79.32%	79.18%	79.53%	79.31%	keras	nan	True	Sequential	16.000000	160163.000000	nan	10.000000	nan	1.000000	4.000000	nan	nan	nan	nan	nan	1.000000	nan	10.000000	1.000000	str	Adam	643880.000000	9.000000	realdfy	104
78	79.32%	79.18%	79.53%	79.31%	keras	nan	True	Sequential	16.000000	1375683.000000	nan	10.000000	nan	1.000000	4.000000	nan	nan	nan	nan	nan	1.000000	nan	10.000000	1.000000	str	Adam	5505960.000000	9.000000	realdfy	112
79	79.32%	79.18%	79.53%	79.31%	keras	nan	True	Sequential	11.000000	10642467.000000	nan	3.000000	nan	2.000000	3.000000	nan	nan	nan	nan	2.000000	1.000000	nan	4.000000	nan	str	Adam	42571368.000000	9.000000	realdfy	117
80	79.32%	79.18%	79.53%	79.31%	keras	nan	True	Sequential	11.000000	4503427.000000	nan	3.000000	nan	2.000000	3.000000	nan	nan	nan	nan	2.000000	1.000000	nan	4.000000	nan	str	Adam	18015208.000000	9.000000	realdfy	118
81	79.32%	79.18%	79.53%	79.31%	keras	nan	True	Sequential	16.000000	190883.000000	nan	10.000000	nan	1.000000	4.000000	nan	nan	nan	nan	nan	1.000000	nan	10.000000	1.000000	str	Adam	766760.000000	9.000000	realdfy	98
82	79.32%	79.18%	79.53%	79.31%	keras	True	True	Sequential	16.000000	190883.000000	nan	10.000000	nan	1.000000	4.000000	nan	nan	nan	nan	nan	1.000000	nan	10.000000	1.000000	str	Adam	766760.000000	9.000000	realdfy	110
83	79.32%	79.18%	79.53%	79.31%	unknown	nan	nan	unknown	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	realdfy	97
84	78.70%	78.22%	80.11%	78.69%	keras	nan	True	Sequential	5.000000	7086467.000000	nan	nan	nan	4.000000	nan	nan	nan	nan	nan	nan	1.000000	nan	3.000000	1.000000	str	Adam	28346968.000000	7.000000	lprockop	102
85	78.78%	78.91%	79.15%	78.77%	keras	nan	True	Sequential	10.000000	999715.000000	nan	6.000000	nan	1.000000	2.000000	nan	nan	nan	nan	nan	1.000000	nan	6.000000	1.000000	str	Adam	4000936.000000	nan	lprockop	41
86	78.85%	78.19%	79.08%	78.84%	unknown	nan	nan	unknown	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	so2638	58
87	78.85%	78.88%	78.97%	78.85%	unknown	nan	nan	unknown	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	amsay99	126
88	78.39%	77.54%	80.36%	78.38%	keras	nan	True	Sequential	9.000000	8023619.000000	nan	3.000000	nan	2.000000	3.000000	nan	nan	nan	nan	nan	1.000000	nan	4.000000	1.000000	str	Adam	32095976.000000	nan	mymstella	146
89	78.39%	77.54%	80.36%	78.38%	unknown	nan	nan	unknown	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	mymstella	147
90	78.16%	77.81%	79.06%	78.15%	keras	nan	True	Sequential	9.000000	8023619.000000	nan	3.000000	nan	2.000000	3.000000	nan	nan	nan	nan	nan	1.000000	nan	4.000000	1.000000	str	Adam	32095976.000000	nan	mymstella	139
91	78.39%	78.04%	78.08%	78.38%	keras	nan	True	Sequential	16.000000	3811619.000000	nan	10.000000	nan	1.000000	4.000000	nan	nan	nan	nan	nan	1.000000	nan	10.000000	1.000000	str	Adam	15249712.000000	nan	mcmurrym	60
92	77.54%	76.93%	77.46%	77.52%	unknown	nan	nan	unknown	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	amsay99	122
93	76.53%	75.94%	75.96%	76.52%	keras	nan	True	Sequential	10.000000	471443.000000	nan	6.000000	nan	1.000000	2.000000	nan	nan	nan	nan	nan	1.000000	nan	6.000000	1.000000	str	Adam	1887848.000000	nan	so2638	127
94	75.91%	75.95%	76.03%	75.90%	keras	nan	True	Sequential	16.000000	30417955.000000	nan	10.000000	nan	1.000000	4.000000	nan	nan	nan	nan	nan	1.000000	nan	10.000000	1.000000	str	Adam	121675048.000000	nan	cj2733	208
95	75.52%	74.51%	77.06%	75.51%	keras	True	True	Functional	128.000000	23593859.000000	nan	53.000000	53.000000	1.000000	1.000000	1.000000	16.000000	1.000000	2.000000	nan	nan	nan	49.000000	1.000000	str	SGD	94416728.000000	nan	ivster	191
96	75.52%	74.51%	77.06%	75.51%	keras	nan	True	Sequential	10.000000	999715.000000	nan	6.000000	nan	1.000000	2.000000	nan	nan	nan	nan	nan	1.000000	nan	6.000000	1.000000	str	Adam	4000936.000000	nan	ivster	189
97	75.52%	74.51%	77.06%	75.51%	keras	nan	True	Sequential	10.000000	999715.000000	nan	6.000000	nan	1.000000	2.000000	nan	nan	nan	nan	nan	1.000000	nan	6.000000	1.000000	str	Adam	4000936.000000	nan	ivster	190
98	75.60%	74.11%	77.31%	75.58%	unknown	nan	nan	unknown	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	amsay99	114
99	74.98%	72.35%	80.83%	74.96%	unknown	nan	nan	unknown	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	amsay99	106
100	75.60%	75.08%	74.95%	75.58%	keras	nan	True	Sequential	16.000000	3811619.000000	nan	10.000000	nan	1.000000	4.000000	nan	nan	nan	nan	nan	1.000000	nan	10.000000	1.000000	str	Adam	15249712.000000	nan	vincent	61
101	74.52%	74.46%	79.05%	74.51%	unknown	nan	nan	unknown	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	amsay99	125
102	74.90%	74.41%	76.20%	74.89%	keras	nan	True	Sequential	16.000000	30417955.000000	nan	10.000000	nan	1.000000	4.000000	nan	nan	nan	nan	nan	1.000000	nan	10.000000	1.000000	str	Adam	121675048.000000	nan	cj2733	192
103	74.90%	74.41%	76.20%	74.89%	keras	nan	True	Sequential	31.000000	18507011.000000	nan	23.000000	nan	1.000000	5.000000	1.000000	nan	nan	nan	nan	1.000000	nan	23.000000	1.000000	str	Adam	74035032.000000	nan	cj2733	193
104	74.90%	74.41%	76.20%	74.89%	keras	nan	True	Sequential	4.000000	3540899.000000	nan	2.000000	nan	1.000000	nan	nan	nan	nan	nan	nan	1.000000	nan	2.000000	1.000000	str	Adam	14164520.000000	nan	cj2733	194
105	75.21%	74.63%	74.56%	75.20%	unknown	nan	nan	unknown	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	amsay99	101
106	74.67%	72.59%	77.33%	74.66%	keras	nan	True	Sequential	13.000000	1852707.000000	nan	8.000000	nan	1.000000	3.000000	nan	nan	nan	nan	nan	1.000000	nan	8.000000	1.000000	str	Adam	7413520.000000	nan	halfbaked_em	36
107	74.59%	74.02%	75.31%	74.58%	unknown	nan	nan	unknown	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	amsay99	40
108	74.59%	73.68%	75.59%	74.58%	unknown	nan	nan	unknown	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	amsay99	65
109	74.59%	74.37%	74.54%	74.58%	keras	nan	True	Sequential	6.000000	7119683.000000	nan	nan	nan	5.000000	nan	nan	nan	nan	nan	nan	1.000000	nan	4.000000	1.000000	str	Adam	28480136.000000	nan	vincent	55
110	74.05%	73.88%	73.99%	74.04%	keras	nan	True	Sequential	16.000000	3811619.000000	nan	10.000000	nan	1.000000	4.000000	nan	nan	nan	nan	nan	1.000000	nan	10.000000	1.000000	str	Adam	15249704.000000	nan	eminilkay	203
111	74.05%	73.88%	73.99%	74.04%	unknown	nan	nan	unknown	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	eminilkay	202
112	74.05%	73.88%	73.99%	74.04%	keras	nan	True	Functional	23.000000	17074499.000000	nan	13.000000	nan	2.000000	5.000000	1.000000	nan	nan	nan	1.000000	1.000000	nan	14.000000	1.000000	str	Adam	68302344.000000	nan	eminilkay	204
113	74.05%	73.88%	73.99%	74.04%	keras	nan	True	Functional	144.000000	23827459.000000	nan	53.000000	49.000000	2.000000	4.000000	1.000000	16.000000	1.000000	18.000000	nan	nan	nan	50.000000	1.000000	str	Adam	95345640.000000	nan	eminilkay	205
114	74.05%	73.88%	73.99%	74.04%	keras	nan	True	Sequential	16.000000	3811619.000000	nan	10.000000	nan	1.000000	4.000000	nan	nan	nan	nan	nan	1.000000	nan	10.000000	1.000000	str	Adam	15249704.000000	nan	eminilkay	201
115	73.43%	71.32%	77.86%	73.41%	unknown	nan	nan	unknown	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	amsay99	124
116	74.21%	73.67%	73.62%	74.19%	unknown	nan	nan	unknown	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	amsay99	123
117	73.20%	72.41%	75.63%	73.19%	unknown	nan	nan	unknown	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	so2638	91
118	73.20%	72.41%	75.63%	73.19%	keras	nan	True	Sequential	10.000000	999715.000000	nan	6.000000	nan	1.000000	2.000000	nan	nan	nan	nan	nan	1.000000	nan	6.000000	1.000000	str	Adam	4000936.000000	nan	so2638	90
119	73.90%	73.49%	73.36%	73.88%	keras	nan	True	Sequential	16.000000	41083.000000	nan	10.000000	nan	1.000000	4.000000	nan	nan	nan	nan	nan	1.000000	nan	10.000000	1.000000	str	Adam	167560.000000	nan	mymstella	144
120	73.82%	73.28%	73.56%	73.80%	keras	nan	True	Sequential	16.000000	3811619.000000	nan	10.000000	nan	1.000000	4.000000	nan	nan	nan	nan	nan	1.000000	nan	10.000000	1.000000	str	Adam	15249712.000000	nan	ivster	45
121	73.90%	73.49%	73.36%	73.88%	unknown	nan	nan	unknown	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	mymstella	145
122	73.35%	71.62%	75.06%	73.34%	keras	nan	True	Sequential	11.000000	471443.000000	nan	6.000000	nan	1.000000	2.000000	nan	nan	nan	nan	1.000000	1.000000	nan	6.000000	1.000000	str	Adam	1887848.000000	nan	so2638	128
123	73.04%	73.09%	73.88%	73.04%	keras	nan	True	Sequential	16.000000	3811619.000000	nan	10.000000	nan	1.000000	4.000000	nan	nan	nan	nan	nan	1.000000	nan	10.000000	1.000000	str	Adam	15249704.000000	nan	cj2733	153
124	73.04%	73.09%	73.88%	73.04%	unknown	nan	nan	unknown	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	cj2733	154
125	72.35%	67.37%	79.06%	72.33%	keras	True	True	Functional	220.000000	22032611.000000	9.000000	94.000000	94.000000	2.000000	4.000000	1.000000	nan	1.000000	nan	nan	nan	15.000000	95.000000	1.000000	str	Adam	88180824.000000	nan	MengYang	121
126	72.50%	72.74%	73.37%	72.50%	keras	nan	True	Sequential	16.000000	3811619.000000	nan	10.000000	nan	1.000000	4.000000	nan	nan	nan	nan	nan	1.000000	nan	10.000000	1.000000	str	Adam	15249712.000000	nan	jer2240	35
127	73.20%	72.19%	73.04%	73.18%	keras	nan	True	Sequential	17.000000	508051.000000	nan	10.000000	nan	1.000000	5.000000	nan	nan	nan	nan	nan	1.000000	nan	10.000000	1.000000	str	Adam	2035432.000000	nan	eminilkay	206
128	72.42%	72.36%	72.31%	72.41%	keras	nan	True	Sequential	16.000000	3811619.000000	nan	10.000000	nan	1.000000	4.000000	nan	nan	nan	nan	nan	1.000000	nan	10.000000	1.000000	str	Adam	15249712.000000	nan	newusertest	2
129	72.27%	72.26%	73.53%	72.26%	keras	nan	True	Sequential	10.000000	999715.000000	nan	6.000000	nan	1.000000	2.000000	nan	nan	nan	nan	nan	1.000000	nan	6.000000	1.000000	str	Adam	4000936.000000	nan	so2638	88
130	72.27%	72.26%	73.53%	72.26%	unknown	nan	nan	unknown	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	so2638	89
131	72.42%	72.36%	72.31%	72.41%	unknown	nan	nan	unknown	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	newusertest	3
132	72.04%	70.24%	74.65%	72.02%	keras	nan	True	Sequential	16.000000	3811619.000000	nan	10.000000	nan	1.000000	4.000000	nan	nan	nan	nan	nan	1.000000	nan	10.000000	1.000000	str	Adam	15249712.000000	nan	sm_5271	39
133	70.57%	68.45%	76.11%	70.55%	unknown	nan	nan	unknown	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	amsay99	50
134	72.19%	70.99%	73.62%	72.17%	keras	nan	True	Sequential	16.000000	3811619.000000	nan	10.000000	nan	1.000000	4.000000	nan	nan	nan	nan	nan	1.000000	nan	10.000000	1.000000	str	Adam	15249712.000000	nan	mikedparrott	1
135	72.19%	72.00%	72.17%	72.18%	unknown	nan	nan	unknown	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	ran_liao	71
136	71.96%	71.98%	72.03%	71.95%	keras	nan	True	Sequential	5.000000	7086467.000000	nan	nan	nan	4.000000	nan	nan	nan	nan	nan	nan	1.000000	nan	3.000000	1.000000	str	Adam	28346968.000000	7.000000	lprockop	24
137	71.19%	69.87%	73.22%	71.17%	keras	nan	True	Sequential	16.000000	3811619.000000	nan	10.000000	nan	1.000000	4.000000	nan	nan	nan	nan	nan	1.000000	nan	10.000000	1.000000	str	SGD	15249712.000000	nan	ran_liao	69
138	71.19%	69.87%	73.22%	71.17%	keras	nan	True	Sequential	16.000000	3811619.000000	nan	10.000000	nan	1.000000	4.000000	nan	nan	nan	nan	nan	1.000000	nan	10.000000	1.000000	str	Adam	15249712.000000	nan	ran_liao	67
139	71.19%	71.02%	71.56%	71.17%	keras	nan	True	Sequential	16.000000	3811619.000000	nan	10.000000	nan	1.000000	4.000000	nan	nan	nan	nan	nan	1.000000	nan	10.000000	1.000000	str	Adam	15249704.000000	nan	nslerner	137
140	70.26%	67.79%	73.33%	70.24%	keras	True	True	Functional	22.000000	16779523.000000	nan	13.000000	nan	2.000000	5.000000	1.000000	nan	nan	nan	nan	1.000000	nan	14.000000	1.000000	str	SGD	67122464.000000	nan	vincent	73
141	70.10%	68.97%	72.08%	70.08%	keras	nan	True	Sequential	16.000000	3811619.000000	nan	10.000000	nan	1.000000	4.000000	nan	nan	nan	nan	nan	1.000000	nan	10.000000	1.000000	str	Adam	15249712.000000	nan	MengYang	66
142	69.09%	68.57%	71.88%	69.09%	keras	True	True	Sequential	16.000000	41083.000000	nan	10.000000	nan	1.000000	4.000000	nan	nan	nan	nan	nan	1.000000	nan	10.000000	1.000000	str	Adam	167560.000000	nan	mymstella	177
143	69.09%	68.57%	71.88%	69.09%	unknown	nan	nan	unknown	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	mymstella	178
144	69.56%	69.67%	70.38%	69.55%	keras	nan	True	Functional	128.000000	23593859.000000	nan	53.000000	53.000000	1.000000	1.000000	1.000000	16.000000	1.000000	2.000000	nan	nan	nan	49.000000	1.000000	str	Adam	94416744.000000	6.000000	bobbie8881	29
145	64.21%	54.58%	73.71%	64.19%	unknown	nan	nan	unknown	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	amsay99	113
146	67.93%	67.25%	70.55%	67.92%	keras	nan	True	Sequential	16.000000	3811619.000000	nan	10.000000	nan	1.000000	4.000000	nan	nan	nan	nan	nan	1.000000	nan	10.000000	1.000000	str	Adam	15249712.000000	nan	so2638	42
147	67.93%	67.25%	70.55%	67.92%	unknown	nan	nan	unknown	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	so2638	43
148	68.32%	65.19%	70.46%	68.30%	keras	nan	True	Sequential	16.000000	3811619.000000	nan	10.000000	nan	1.000000	4.000000	nan	nan	nan	nan	nan	1.000000	nan	10.000000	1.000000	str	Adam	15249712.000000	nan	timnyt	38
149	67.47%	67.52%	69.72%	67.46%	keras	nan	True	Sequential	16.000000	3811619.000000	nan	10.000000	nan	1.000000	4.000000	nan	nan	nan	nan	nan	1.000000	nan	10.000000	1.000000	str	Adam	15249704.000000	nan	MengYang	119
150	60.73%	52.33%	75.15%	60.71%	keras	nan	True	Sequential	16.000000	3811619.000000	nan	10.000000	nan	1.000000	4.000000	nan	nan	nan	nan	nan	1.000000	nan	10.000000	1.000000	str	Adam	15249704.000000	nan	cj2733	155
151	66.38%	64.78%	70.93%	66.37%	keras	nan	True	Sequential	16.000000	3811619.000000	nan	10.000000	nan	1.000000	4.000000	nan	nan	nan	nan	nan	1.000000	nan	10.000000	1.000000	str	Adam	15249712.000000	nan	miles_degrazia	48
152	66.15%	57.09%	66.15%	66.13%	keras	True	True	Functional	25.000000	21867987.000000	nan	16.000000	nan	2.000000	5.000000	1.000000	nan	nan	nan	nan	1.000000	nan	17.000000	1.000000	function	Adam	87477176.000000	7.000000	adrianwang	105
153	62.90%	53.50%	67.59%	62.87%	keras	nan	True	Sequential	10.000000	999715.000000	nan	6.000000	nan	1.000000	2.000000	nan	nan	nan	nan	nan	1.000000	nan	6.000000	1.000000	str	Adam	4000936.000000	nan	lprockop	44
154	61.50%	62.11%	64.36%	61.50%	keras	True	True	Functional	128.000000	23593859.000000	nan	53.000000	53.000000	1.000000	1.000000	1.000000	16.000000	1.000000	2.000000	nan	nan	nan	49.000000	1.000000	str	Adam	94416744.000000	nan	hal2148	15
155	61.81%	52.67%	69.63%	61.79%	keras	nan	True	Sequential	16.000000	3811619.000000	nan	10.000000	nan	1.000000	4.000000	nan	nan	nan	nan	nan	1.000000	nan	10.000000	1.000000	str	SGD	15249712.000000	nan	vincent	70
156	64.21%	54.43%	56.01%	64.19%	keras	True	True	Functional	222.000000	23016483.000000	9.000000	94.000000	94.000000	4.000000	4.000000	1.000000	nan	1.000000	nan	nan	nan	15.000000	97.000000	1.000000	str	Adam	92116792.000000	nan	MengYang	135
157	57.71%	57.63%	60.08%	57.71%	unknown	nan	nan	unknown	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	amsay99	108
158	61.19%	50.39%	49.99%	61.17%	keras	True	True	Sequential	9.000000	8023619.000000	nan	3.000000	nan	2.000000	3.000000	nan	nan	nan	nan	nan	1.000000	nan	4.000000	1.000000	str	Adam	32095976.000000	nan	mymstella	182
159	54.84%	48.42%	56.16%	54.81%	unknown	nan	nan	unknown	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	mymstella	150
160	54.84%	48.42%	56.16%	54.81%	keras	nan	True	Functional	22.000000	16779523.000000	nan	13.000000	nan	2.000000	5.000000	1.000000	nan	nan	nan	nan	1.000000	nan	14.000000	1.000000	str	Adam	67122440.000000	nan	mymstella	149
161	58.02%	46.52%	38.86%	57.99%	keras	nan	True	Sequential	13.000000	471635.000000	nan	6.000000	2.000000	1.000000	2.000000	nan	nan	nan	nan	1.000000	1.000000	nan	6.000000	1.000000	str	Adam	1889576.000000	nan	so2638	130
162	52.13%	45.95%	63.62%	52.13%	unknown	nan	nan	unknown	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	mymstella	143
163	52.13%	45.95%	63.62%	52.13%	keras	nan	True	Sequential	16.000000	3811619.000000	nan	10.000000	nan	1.000000	4.000000	nan	nan	nan	nan	nan	1.000000	nan	10.000000	1.000000	str	Adam	15249704.000000	nan	mymstella	142
164	52.36%	47.99%	47.76%	52.33%	unknown	nan	nan	unknown	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	MengYang	133
165	47.33%	38.32%	65.22%	47.33%	keras	nan	True	Sequential	9.000000	8023619.000000	nan	3.000000	nan	2.000000	3.000000	nan	nan	nan	nan	nan	1.000000	nan	4.000000	1.000000	str	Adam	32095976.000000	nan	mymstella	162
166	33.77%	33.78%	33.79%	33.77%	keras	nan	True	Sequential	14.000000	1189155.000000	nan	8.000000	nan	1.000000	4.000000	nan	nan	nan	nan	nan	1.000000	nan	8.000000	1.000000	str	Adam	4759312.000000	nan	emileesmaili	4
167	33.77%	33.78%	33.79%	33.77%	unknown	nan	nan	unknown	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	emileesmaili	5
168	37.88%	26.60%	28.35%	37.83%	keras	nan	True	Sequential	12.000000	471635.000000	nan	6.000000	2.000000	1.000000	2.000000	nan	nan	nan	nan	nan	1.000000	nan	6.000000	1.000000	str	Adam	1889576.000000	nan	so2638	129
169	36.48%	27.44%	24.66%	36.45%	keras	True	True	Sequential	23.000000	19466819.000000	nan	13.000000	nan	3.000000	5.000000	1.000000	nan	nan	nan	nan	1.000000	nan	15.000000	1.000000	str	Adam	77871864.000000	nan	mymstella	175
170	36.48%	27.44%	24.66%	36.45%	unknown	nan	nan	unknown	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	mymstella	176
171	33.00%	32.99%	32.99%	33.00%	keras	nan	True	Sequential	16.000000	3811619.000000	nan	10.000000	nan	1.000000	4.000000	nan	nan	nan	nan	nan	1.000000	nan	10.000000	1.000000	str	Adam	15249712.000000	nan	emileesmaili	6
172	33.38%	16.69%	11.13%	33.33%	keras	nan	True	Sequential	16.000000	3811619.000000	nan	10.000000	nan	1.000000	4.000000	nan	nan	nan	nan	nan	1.000000	nan	10.000000	1.000000	str	Adam	15249712.000000	7.000000	lprockop	25
173	33.38%	16.69%	11.13%	33.33%	unknown	nan	nan	unknown	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	mymstella	152
174	33.38%	16.69%	11.13%	33.33%	keras	nan	True	Functional	22.000000	16779523.000000	nan	13.000000	nan	2.000000	5.000000	1.000000	nan	nan	nan	nan	1.000000	nan	14.000000	1.000000	str	Adam	67122440.000000	nan	mymstella	151
175	33.38%	16.69%	11.13%	33.33%	keras	nan	True	Sequential	26.000000	3821603.000000	nan	10.000000	10.000000	1.000000	4.000000	nan	nan	nan	nan	nan	1.000000	nan	10.000000	1.000000	str	Adam	15294504.000000	nan	timnyt	56
176	33.38%	16.69%	11.13%	33.33%	unknown	nan	nan	unknown	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	so2638	54
177	33.38%	16.69%	11.13%	33.33%	keras	nan	True	Sequential	22.000000	8849187.000000	nan	14.000000	nan	1.000000	6.000000	nan	nan	nan	nan	nan	1.000000	nan	14.000000	1.000000	str	Adam	35401152.000000	nan	so2638	51
178	33.38%	16.69%	11.13%	33.33%	keras	nan	True	Sequential	10.000000	226595.000000	nan	nan	nan	7.000000	2.000000	nan	nan	nan	nan	nan	1.000000	nan	6.000000	1.000000	str	Adam	908264.000000	nan	so2638	94
179	33.38%	16.69%	11.13%	33.33%	keras	nan	True	Sequential	26.000000	3821603.000000	nan	10.000000	10.000000	1.000000	4.000000	nan	nan	nan	nan	nan	1.000000	nan	10.000000	1.000000	str	Adam	15294504.000000	nan	timnyt	46
180	33.38%	16.69%	11.13%	33.33%	unknown	nan	nan	unknown	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	so2638	95
181	33.31%	16.66%	11.10%	33.33%	keras	nan	True	Sequential	10.000000	999715.000000	nan	6.000000	nan	1.000000	2.000000	nan	nan	nan	nan	nan	1.000000	nan	6.000000	1.000000	str	Adam	4000936.000000	nan	so2638	92
182	33.31%	16.66%	11.10%	33.33%	keras	nan	True	Sequential	6.000000	7119683.000000	nan	nan	nan	5.000000	nan	nan	nan	nan	nan	nan	1.000000	nan	4.000000	1.000000	str	SGD	28480136.000000	nan	vincent	81
183	33.31%	16.66%	11.10%	33.33%	keras	nan	True	Sequential	9.000000	18898977.000000	nan	3.000000	nan	2.000000	3.000000	nan	nan	nan	nan	nan	1.000000	nan	4.000000	nan	str	Adam	75597408.000000	7.000000	lprockop	116
184	33.31%	16.66%	11.10%	33.33%	keras	nan	True	Sequential	19.000000	3599267.000000	nan	10.000000	3.000000	1.000000	4.000000	nan	nan	nan	nan	nan	1.000000	nan	10.000000	1.000000	str	Adam	14401728.000000	nan	jer2240	59
185	33.31%	16.66%	11.10%	33.33%	unknown	nan	nan	unknown	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	Rochuz	53
186	33.31%	16.66%	11.10%	33.33%	unknown	nan	nan	unknown	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	eminilkay	52
187	33.31%	16.66%	11.10%	33.33%	keras	True	True	Functional	22.000000	16779523.000000	nan	13.000000	nan	2.000000	5.000000	1.000000	nan	nan	nan	nan	1.000000	nan	14.000000	1.000000	str	SGD	67122440.000000	nan	nslerner	141
188	33.31%	16.66%	11.10%	33.33%	keras	nan	True	Sequential	21.000000	3816611.000000	nan	10.000000	5.000000	1.000000	4.000000	nan	nan	nan	nan	nan	1.000000	nan	10.000000	1.000000	str	Adam	15272088.000000	nan	Rochuz	49
189	33.31%	16.66%	11.10%	33.33%	unknown	nan	nan	unknown	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	mymstella	173
190	33.31%	16.66%	11.10%	33.33%	keras	True	True	Functional	22.000000	16779523.000000	nan	13.000000	nan	2.000000	5.000000	1.000000	nan	nan	nan	nan	1.000000	nan	14.000000	1.000000	str	Adam	67122440.000000	nan	mymstella	172
191	33.31%	16.66%	11.10%	33.33%	keras	nan	True	Sequential	16.000000	3811619.000000	nan	10.000000	nan	1.000000	4.000000	nan	nan	nan	nan	nan	1.000000	nan	10.000000	1.000000	str	Adam	15249712.000000	nan	eminilkay	47
192	33.31%	16.66%	11.10%	33.33%	keras	nan	True	Functional	15.000000	2285955.000000	nan	7.000000	nan	2.000000	1.000000	1.000000	2.000000	1.000000	nan	1.000000	nan	nan	8.000000	nan	CategoricalCrossentropy	Adam	9146472.000000	nan	sdp2158	159
193	33.31%	16.66%	11.10%	33.33%	keras	nan	True	Sequential	16.000000	3811619.000000	nan	10.000000	nan	1.000000	4.000000	nan	nan	nan	nan	nan	1.000000	nan	10.000000	1.000000	str	Adam	15249712.000000	6.000000	bobbie8881	30
194	33.31%	16.66%	11.10%	33.33%	keras	nan	True	Functional	128.000000	23593859.000000	nan	53.000000	53.000000	1.000000	1.000000	1.000000	16.000000	1.000000	2.000000	nan	nan	nan	49.000000	1.000000	str	SGD	94416744.000000	nan	Chen	31
195	33.31%	16.66%	11.10%	33.33%	keras	nan	True	Functional	22.000000	16779523.000000	nan	13.000000	nan	2.000000	5.000000	1.000000	nan	nan	nan	nan	1.000000	nan	14.000000	1.000000	str	Adam	67122464.000000	7.000000	lprockop	32
196	33.31%	16.66%	11.10%	33.33%	keras	nan	True	Functional	22.000000	16779523.000000	nan	13.000000	nan	2.000000	5.000000	1.000000	nan	nan	nan	nan	1.000000	nan	14.000000	1.000000	str	Adam	67122440.000000	nan	mymstella	163
197	26.49%	21.56%	21.80%	26.47%	keras	nan	True	Functional	25.000000	22089219.000000	nan	16.000000	nan	2.000000	5.000000	1.000000	nan	nan	nan	nan	1.000000	nan	17.000000	1.000000	str	Adam	88362152.000000	nan	Chen	33
198	33.31%	16.66%	11.10%	33.33%	unknown	nan	nan	unknown	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	mymstella	164
199	33.31%	16.66%	11.10%	33.33%	keras	nan	True	Functional	22.000000	16779523.000000	nan	13.000000	nan	2.000000	5.000000	1.000000	nan	nan	nan	nan	1.000000	nan	14.000000	1.000000	str	Adam	67122440.000000	nan	mymstella	165
200	33.31%	16.66%	11.10%	33.33%	unknown	nan	nan	unknown	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	mymstella	166
201	33.31%	16.66%	11.10%	33.33%	keras	True	True	Functional	23.000000	19466819.000000	nan	13.000000	nan	3.000000	5.000000	1.000000	nan	nan	nan	nan	1.000000	nan	15.000000	1.000000	str	Adam	77871864.000000	nan	mymstella	170
202	33.31%	16.66%	11.10%	33.33%	unknown	nan	nan	unknown	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	mymstella	171
203	33.31%	16.66%	11.10%	33.33%	keras	nan	True	Sequential	10.000000	1064227.000000	nan	6.000000	nan	1.000000	2.000000	nan	nan	nan	nan	nan	1.000000	nan	7.000000	nan	function	Adam	4258984.000000	7.000000	adrianwang	99
204	33.31%	16.66%	11.10%	33.33%	unknown	nan	nan	unknown	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	so2638	93
205	18.13%	12.01%	9.03%	18.14%	keras	nan	True	Sequential	10.000000	3544611.000000	nan	nan	2.000000	7.000000	nan	nan	nan	nan	nan	nan	1.000000	nan	6.000000	1.000000	str	Adam	14181296.000000	nan	so2638	96
206	nan%	nan%	nan%	nan%	keras	True	True	Functional	222.000000	23016483.000000	9.000000	94.000000	94.000000	4.000000	4.000000	1.000000	nan	1.000000	nan	nan	nan	15.000000	97.000000	1.000000	str	Adam	92116792.000000	nan	MengYang	140
207	nan%	nan%	nan%	nan%	keras	True	True	Functional	222.000000	23016483.000000	9.000000	94.000000	94.000000	4.000000	4.000000	1.000000	nan	1.000000	nan	nan	nan	15.000000	97.000000	1.000000	str	Adam	92116792.000000	nan	MengYang	148

# Reload model and data
import tensorflow as tf
model = tf.keras.models.load_model('model2.h5',compile=False)
model.compile(
    optimizer="adam", # to use callback set lr arg such as Adam(lr=0.001) instead
    loss= 'categorical_crossentropy',
    metrics=['accuracy'])
model.summary()

onnx_model = model_to_onnx(model, framework='keras',
                          transfer_learning=True,
                          deep_learning=True)

with open("model.onnx", "wb") as f:
    f.write(onnx_model.SerializeToString())

apiurl='https://bb4mkgq8sb.execute-api.us-east-2.amazonaws.com/prod/m'

import aimodelshare as ai
experiment= ai.Experiment(apiurl)

from aimodelshare.aws import set_credentials
set_credentials(apiurl=apiurl)

# Submit Model 2 to Competition Leaderboard
experiment.submit_model(model_filepath = "model.onnx",
                                 preprocessor_filepath="preprocessor.zip",
                                 prediction_submission=prediction_labels)

data = experiment.get_leaderboard()
experiment.stylize_leaderboard(data)

Model: "sequential"
_________________________________________________________________
 Layer (type)                Output Shape              Param #   
=================================================================
 vgg16 (Functional)          (None, 6, 6, 512)         14714688  
                                                                 
 conv2d (Conv2D)             (None, 6, 6, 32)          147488    
                                                                 
 conv2d_1 (Conv2D)           (None, 6, 6, 32)          1056      
                                                                 
 conv2d_2 (Conv2D)           (None, 6, 6, 64)          18496     
                                                                 
 conv2d_3 (Conv2D)           (None, 6, 6, 64)          4160      
                                                                 
 conv2d_4 (Conv2D)           (None, 6, 6, 128)         73856     
                                                                 
 conv2d_5 (Conv2D)           (None, 6, 6, 128)         16512     
                                                                 
 conv2d_6 (Conv2D)           (None, 6, 6, 512)         590336    
                                                                 
 conv2d_7 (Conv2D)           (None, 6, 6, 512)         262656    
                                                                 
 conv2d_8 (Conv2D)           (None, 6, 6, 512)         2359808   
                                                                 
 conv2d_9 (Conv2D)           (None, 6, 6, 512)         262656    
                                                                 
 flatten (Flatten)           (None, 18432)             0         
                                                                 
 dense (Dense)               (None, 3)                 55299     
                                                                 
=================================================================
Total params: 18,507,011
Trainable params: 3,792,323
Non-trainable params: 14,714,688
_________________________________________________________________
WARNING: AutoGraph could not transform <function trace_model_call.<locals>._wrapped_model at 0x7f3f5142c0d0> and will run it as-is.
Cause: Unable to locate the source code of <function trace_model_call.<locals>._wrapped_model at 0x7f3f5142c0d0>. Note that functions defined in certain environments, like the interactive Python shell, do not expose their source code. If that is the case, you should define them in a .py source file. If you are certain the code is graph-compatible, wrap the call using @tf.autograph.experimental.do_not_convert. Original error: could not get source code
To silence this warning, decorate the function with @tf.autograph.experimental.do_not_convert
AI Modelshare Username:··········
AI Modelshare Password:··········
AI Model Share login credentials set successfully.
Insert search tags to help users find your model (optional): cj2733
Provide any useful notes about your model (optional): model20

Your model has been submitted as model version 220

To submit code used to create this model or to view current leaderboard navigate to Model Playground: 

 https://www.modelshare.org/detail/model:3340

	accuracy	f1_score	precision	recall	ml_framework	transfer_learning	deep_learning	model_type	depth	num_params	averagepooling2d_layers	conv2d_layers	batchnormalization_layers	dense_layers	maxpooling2d_layers	inputlayer_layers	add_layers	globalaveragepooling2d_layers	zeropadding2d_layers	dropout_layers	flatten_layers	concatenate_layers	relu_act	softmax_act	loss	optimizer	memory_size	team	username	version
0	96.36%	96.37%	96.38%	96.36%	unknown	nan	nan	unknown	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	francesyang	23
1	96.28%	96.27%	96.30%	96.28%	unknown	nan	nan	unknown	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	francesyang	22
2	95.82%	95.82%	95.88%	95.82%	unknown	nan	nan	unknown	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	francesyang	20
3	95.58%	95.59%	95.60%	95.58%	unknown	nan	nan	unknown	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	francesyang	9
4	94.42%	94.42%	94.44%	94.42%	keras	nan	True	Sequential	26.000000	117651.000000	nan	10.000000	9.000000	1.000000	5.000000	nan	nan	nan	nan	nan	1.000000	nan	10.000000	1.000000	str	Adam	478136.000000	nan	oliverhegi	78
5	94.04%	94.03%	94.03%	94.03%	keras	nan	True	Sequential	25.000000	37859.000000	nan	10.000000	9.000000	1.000000	4.000000	nan	nan	nan	nan	nan	1.000000	nan	10.000000	1.000000	str	Adam	159016.000000	nan	sofiazaidman	186
6	93.73%	93.71%	93.71%	93.72%	keras	True	True	Functional	219.000000	21808931.000000	9.000000	94.000000	94.000000	1.000000	4.000000	1.000000	nan	1.000000	nan	nan	nan	15.000000	94.000000	1.000000	str	Adam	87285904.000000	nan	hal2148	18
7	93.65%	93.66%	93.79%	93.65%	keras	nan	True	Sequential	25.000000	37859.000000	nan	10.000000	9.000000	1.000000	4.000000	nan	nan	nan	nan	nan	1.000000	nan	10.000000	1.000000	str	Adam	159016.000000	nan	sofiazaidman	184
8	93.65%	93.66%	93.79%	93.65%	keras	nan	True	Sequential	25.000000	37859.000000	nan	10.000000	9.000000	1.000000	4.000000	nan	nan	nan	nan	nan	1.000000	nan	10.000000	1.000000	str	Adam	159016.000000	nan	sofiazaidman	185
9	92.87%	92.86%	92.86%	92.87%	keras	nan	True	Sequential	25.000000	58147.000000	nan	10.000000	9.000000	1.000000	4.000000	nan	nan	nan	nan	nan	1.000000	nan	10.000000	1.000000	str	Adam	240120.000000	nan	sofiazaidman	82
10	92.72%	92.68%	92.72%	92.71%	keras	nan	True	Sequential	19.000000	3686819.000000	nan	12.000000	nan	1.000000	5.000000	nan	nan	nan	nan	nan	1.000000	nan	12.000000	1.000000	str	Adam	14751136.000000	nan	Chen	87
11	92.49%	92.46%	92.50%	92.48%	keras	nan	True	Sequential	30.000000	58339.000000	nan	12.000000	11.000000	1.000000	5.000000	nan	nan	nan	nan	nan	1.000000	nan	12.000000	1.000000	str	Adam	242472.000000	nan	sofiazaidman	100
12	92.18%	92.11%	92.44%	92.17%	keras	True	True	Functional	25.000000	21867987.000000	nan	16.000000	nan	2.000000	5.000000	1.000000	nan	nan	nan	nan	1.000000	nan	17.000000	1.000000	function	Adam	87477176.000000	7.000000	adrianwang	115
13	91.71%	91.66%	91.68%	91.71%	keras	nan	True	Sequential	16.000000	3811619.000000	nan	10.000000	nan	1.000000	4.000000	nan	nan	nan	nan	nan	1.000000	nan	10.000000	1.000000	str	Adam	15249712.000000	nan	hal2148	14
14	91.48%	91.51%	91.65%	91.48%	keras	nan	True	Sequential	24.000000	3820963.000000	nan	10.000000	8.000000	1.000000	4.000000	nan	nan	nan	nan	nan	1.000000	nan	10.000000	1.000000	str	Adam	15290936.000000	nan	sofiazaidman	62
15	91.32%	91.32%	91.36%	91.32%	keras	nan	True	Sequential	16.000000	7179555.000000	nan	10.000000	nan	1.000000	4.000000	nan	nan	nan	nan	nan	1.000000	nan	10.000000	1.000000	str	Adam	28721448.000000	nan	jer2240	158
16	91.32%	91.32%	91.36%	91.32%	keras	nan	True	Sequential	8.000000	1794095.000000	nan	4.000000	1.000000	1.000000	1.000000	nan	nan	nan	nan	nan	1.000000	nan	4.000000	1.000000	str	Adam	7178376.000000	nan	jer2240	160
17	91.01%	91.07%	91.45%	91.02%	keras	nan	True	Sequential	16.000000	3596579.000000	nan	10.000000	nan	1.000000	4.000000	nan	nan	nan	nan	nan	1.000000	nan	10.000000	1.000000	str	Adam	14389552.000000	nan	jer2240	63
18	91.09%	91.10%	91.16%	91.09%	keras	nan	True	Sequential	16.000000	3811619.000000	nan	10.000000	nan	1.000000	4.000000	nan	nan	nan	nan	nan	1.000000	nan	10.000000	1.000000	str	Adam	15249712.000000	6.000000	bobbie8881	10
19	91.09%	91.03%	91.12%	91.09%	keras	nan	True	Sequential	19.000000	3877923.000000	nan	12.000000	nan	1.000000	5.000000	nan	nan	nan	nan	nan	1.000000	nan	12.000000	1.000000	str	Adam	15515528.000000	nan	sdp2158	157
20	90.70%	90.77%	91.32%	90.70%	keras	nan	True	Functional	21.000000	4598563.000000	1.000000	12.000000	1.000000	1.000000	4.000000	1.000000	nan	nan	nan	nan	1.000000	nan	12.000000	1.000000	str	Adam	18398536.000000	nan	jer2240	216
21	90.86%	90.90%	90.98%	90.86%	keras	True	True	Functional	219.000000	21808931.000000	9.000000	94.000000	94.000000	1.000000	4.000000	1.000000	nan	1.000000	nan	nan	nan	15.000000	94.000000	1.000000	str	Adam	87285904.000000	nan	hal2148	19
22	90.55%	90.57%	91.00%	90.55%	keras	nan	True	Sequential	17.000000	115795.000000	nan	10.000000	nan	1.000000	5.000000	nan	nan	nan	nan	nan	1.000000	nan	10.000000	1.000000	str	Adam	466416.000000	nan	oliverhegi	75
23	90.01%	90.15%	91.61%	90.01%	keras	True	True	Functional	25.000000	21867987.000000	nan	16.000000	nan	2.000000	5.000000	1.000000	nan	nan	nan	nan	1.000000	nan	17.000000	1.000000	function	Adam	87477176.000000	7.000000	adrianwang	109
24	90.32%	90.26%	90.28%	90.31%	keras	nan	True	Sequential	16.000000	3811619.000000	nan	10.000000	nan	1.000000	4.000000	nan	nan	nan	nan	nan	1.000000	nan	10.000000	1.000000	str	Adam	15249712.000000	nan	bobbie8881	26
25	90.32%	90.26%	90.28%	90.31%	keras	nan	True	Sequential	16.000000	3811619.000000	nan	10.000000	nan	1.000000	4.000000	nan	nan	nan	nan	nan	1.000000	nan	10.000000	1.000000	str	Adam	15249712.000000	6.000000	bobbie8881	27
26	89.39%	89.40%	90.24%	89.39%	keras	nan	True	Functional	44.000000	459971.000000	nan	16.000000	16.000000	1.000000	4.000000	1.000000	nan	1.000000	nan	nan	nan	5.000000	16.000000	1.000000	str	Adam	1852568.000000	nan	ran_liao	74
27	89.39%	89.26%	89.68%	89.38%	keras	nan	True	Functional	25.000000	22089219.000000	nan	16.000000	nan	2.000000	5.000000	1.000000	nan	nan	nan	nan	1.000000	nan	17.000000	1.000000	str	Adam	88362152.000000	nan	Chen	76
28	89.16%	89.18%	89.79%	89.15%	keras	nan	True	Sequential	16.000000	56995.000000	nan	10.000000	nan	1.000000	4.000000	nan	nan	nan	nan	nan	1.000000	nan	10.000000	1.000000	str	Adam	231216.000000	nan	sofiazaidman	11
29	89.08%	89.19%	89.69%	89.08%	keras	nan	True	Sequential	16.000000	3811619.000000	nan	10.000000	nan	1.000000	4.000000	nan	nan	nan	nan	nan	1.000000	nan	10.000000	1.000000	str	Adam	15249712.000000	nan	francesyang	7
30	89.08%	89.15%	89.35%	89.08%	keras	nan	True	Sequential	12.000000	1793199.000000	3.000000	6.000000	1.000000	1.000000	nan	nan	nan	nan	nan	nan	1.000000	nan	6.000000	1.000000	str	Adam	7175400.000000	nan	jer2240	161
31	89.08%	89.15%	89.35%	89.08%	keras	nan	True	Sequential	12.000000	1793199.000000	3.000000	6.000000	1.000000	1.000000	nan	nan	nan	nan	nan	nan	1.000000	nan	6.000000	1.000000	str	Adam	7175400.000000	nan	jer2240	169
32	89.00%	88.96%	88.94%	89.00%	keras	nan	True	Sequential	4.000000	3540899.000000	nan	2.000000	nan	1.000000	nan	nan	nan	nan	nan	nan	1.000000	nan	2.000000	1.000000	str	Adam	14164520.000000	nan	cj2733	200
33	89.00%	88.96%	88.94%	89.00%	keras	nan	True	Sequential	31.000000	18507011.000000	nan	23.000000	nan	1.000000	5.000000	1.000000	nan	nan	nan	nan	1.000000	nan	23.000000	1.000000	str	Adam	74035032.000000	nan	cj2733	199
34	89.00%	88.96%	88.94%	89.00%	keras	nan	True	Sequential	16.000000	30417955.000000	nan	10.000000	nan	1.000000	4.000000	nan	nan	nan	nan	nan	1.000000	nan	10.000000	1.000000	str	Adam	121675048.000000	nan	cj2733	198
35	88.69%	88.46%	88.93%	88.68%	keras	True	True	Functional	220.000000	25473251.000000	9.000000	94.000000	94.000000	2.000000	4.000000	1.000000	nan	nan	nan	nan	1.000000	15.000000	95.000000	1.000000	str	Adam	101943424.000000	nan	francesyang	8
36	88.61%	88.61%	88.79%	88.61%	keras	nan	True	Sequential	16.000000	3811619.000000	nan	10.000000	nan	1.000000	4.000000	nan	nan	nan	nan	nan	1.000000	nan	10.000000	1.000000	str	Adam	15249704.000000	7.000000	lprockop	111
37	88.30%	88.36%	88.78%	88.30%	keras	nan	True	Sequential	16.000000	3811619.000000	nan	10.000000	nan	1.000000	4.000000	nan	nan	nan	nan	nan	1.000000	nan	10.000000	1.000000	str	Adam	15249712.000000	nan	mcmurrym	34
38	88.07%	88.05%	88.60%	88.07%	keras	nan	True	Sequential	16.000000	29251.000000	nan	10.000000	nan	1.000000	4.000000	nan	nan	nan	nan	nan	1.000000	nan	10.000000	1.000000	str	Adam	120240.000000	nan	sofiazaidman	21
39	87.99%	88.02%	88.09%	87.99%	keras	nan	True	Functional	14.000000	1852707.000000	3.000000	8.000000	nan	1.000000	nan	1.000000	nan	nan	nan	nan	1.000000	nan	8.000000	1.000000	str	Adam	7413512.000000	nan	jer2240	183
40	87.92%	87.89%	88.23%	87.91%	keras	nan	True	Functional	21.000000	4555043.000000	2.000000	12.000000	nan	1.000000	4.000000	1.000000	nan	nan	nan	nan	1.000000	nan	12.000000	1.000000	str	Adam	18224008.000000	nan	jer2240	213
41	87.92%	87.89%	88.23%	87.91%	keras	nan	True	Functional	21.000000	4555043.000000	2.000000	12.000000	nan	1.000000	4.000000	1.000000	nan	nan	nan	nan	1.000000	nan	12.000000	1.000000	str	Adam	18224008.000000	nan	jer2240	214
42	87.76%	87.69%	88.23%	87.76%	keras	nan	True	Sequential	16.000000	30417955.000000	nan	10.000000	nan	1.000000	4.000000	nan	nan	nan	nan	nan	1.000000	nan	10.000000	1.000000	str	Adam	121675048.000000	nan	cj2733	195
43	87.76%	87.69%	88.23%	87.76%	keras	nan	True	Sequential	31.000000	18507011.000000	nan	23.000000	nan	1.000000	5.000000	1.000000	nan	nan	nan	nan	1.000000	nan	23.000000	1.000000	str	Adam	74035032.000000	nan	cj2733	196
44	87.76%	87.69%	88.23%	87.76%	keras	nan	True	Sequential	4.000000	3540899.000000	nan	2.000000	nan	1.000000	nan	nan	nan	nan	nan	nan	1.000000	nan	2.000000	1.000000	str	Adam	14164520.000000	nan	cj2733	197
45	87.68%	87.60%	87.63%	87.68%	keras	True	True	Functional	219.000000	21808931.000000	9.000000	94.000000	94.000000	1.000000	4.000000	1.000000	nan	1.000000	nan	nan	nan	15.000000	94.000000	1.000000	str	Adam	87285904.000000	nan	hal2148	17
46	86.52%	86.49%	88.46%	86.52%	keras	nan	True	Sequential	26.000000	3821603.000000	nan	10.000000	10.000000	1.000000	4.000000	nan	nan	nan	nan	nan	1.000000	nan	10.000000	1.000000	str	Adam	15294504.000000	nan	tinaz0407	64
47	86.99%	87.14%	87.73%	86.99%	keras	nan	True	Functional	11.000000	999715.000000	2.000000	6.000000	nan	1.000000	nan	1.000000	nan	nan	nan	nan	1.000000	nan	6.000000	1.000000	str	Adam	4000936.000000	nan	jer2240	174
48	86.29%	85.96%	86.92%	86.28%	keras	nan	True	Functional	25.000000	22089219.000000	nan	16.000000	nan	2.000000	5.000000	1.000000	nan	nan	nan	nan	1.000000	nan	17.000000	1.000000	str	Adam	88362104.000000	nan	MengYang	120
49	86.13%	86.05%	86.72%	86.13%	keras	True	True	Sequential	31.000000	18507011.000000	nan	23.000000	nan	1.000000	5.000000	1.000000	nan	nan	nan	nan	1.000000	nan	23.000000	1.000000	str	Adam	74035032.000000	nan	cj2733	220
50	85.36%	84.78%	87.45%	85.35%	keras	nan	True	Sequential	19.000000	4596515.000000	nan	12.000000	nan	1.000000	5.000000	nan	nan	nan	nan	nan	1.000000	nan	12.000000	1.000000	nan	NoneType	18389896.000000	nan	sdp2158	156
51	85.75%	85.58%	85.74%	85.74%	keras	nan	True	Sequential	6.000000	7090627.000000	nan	nan	nan	5.000000	nan	nan	nan	nan	nan	nan	1.000000	nan	4.000000	1.000000	str	SGD	28363912.000000	nan	hal2148	13
52	85.21%	84.95%	85.93%	85.20%	keras	True	True	Functional	219.000000	21808931.000000	9.000000	94.000000	94.000000	1.000000	4.000000	1.000000	nan	1.000000	nan	nan	nan	15.000000	94.000000	1.000000	str	Adam	87285904.000000	nan	sofiazaidman	12
53	83.97%	83.48%	84.67%	83.96%	unknown	nan	nan	unknown	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	halfbaked_em	83
54	83.97%	83.48%	84.67%	83.96%	unknown	nan	nan	unknown	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	halfbaked_em	86
55	83.97%	83.48%	84.67%	83.96%	unknown	nan	nan	unknown	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	halfbaked_em	85
56	83.97%	83.48%	84.67%	83.96%	unknown	nan	nan	unknown	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	halfbaked_em	84
57	83.19%	83.15%	83.62%	83.18%	keras	True	True	Functional	21.000000	14716227.000000	nan	13.000000	nan	1.000000	5.000000	1.000000	nan	1.000000	nan	nan	nan	nan	13.000000	1.000000	str	Adam	58869040.000000	nan	hal2148	16
58	82.65%	82.85%	86.12%	82.65%	keras	nan	True	Sequential	23.000000	19466819.000000	nan	13.000000	nan	3.000000	5.000000	1.000000	nan	nan	nan	nan	1.000000	nan	15.000000	1.000000	str	Adam	77871864.000000	nan	mymstella	167
59	82.65%	82.85%	86.12%	82.65%	unknown	nan	nan	unknown	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	mymstella	168
60	83.04%	82.95%	83.06%	83.03%	keras	True	True	Functional	222.000000	23016483.000000	9.000000	94.000000	94.000000	4.000000	4.000000	1.000000	nan	1.000000	nan	nan	nan	15.000000	97.000000	1.000000	str	Adam	92116792.000000	nan	MengYang	134
61	82.49%	82.39%	82.35%	82.49%	keras	True	True	Sequential	5.000000	36967811.000000	nan	1.000000	nan	2.000000	1.000000	nan	nan	nan	nan	nan	1.000000	nan	2.000000	1.000000	str	Adam	147872136.000000	nan	mymstella	179
62	82.49%	82.39%	82.35%	82.49%	unknown	nan	nan	unknown	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	mymstella	180
63	82.49%	82.39%	82.35%	82.49%	keras	True	True	Sequential	5.000000	36967811.000000	nan	1.000000	nan	2.000000	1.000000	nan	nan	nan	nan	nan	1.000000	nan	2.000000	1.000000	str	Adam	147872136.000000	nan	mymstella	181
64	82.34%	82.14%	82.07%	82.33%	keras	nan	True	Sequential	19.000000	6268195.000000	nan	12.000000	nan	1.000000	5.000000	nan	nan	nan	nan	nan	1.000000	nan	12.000000	1.000000	nan	NoneType	25076616.000000	nan	sdp2158	136
65	81.80%	81.74%	82.37%	81.79%	keras	True	True	Functional	222.000000	23016483.000000	9.000000	94.000000	94.000000	4.000000	4.000000	1.000000	nan	1.000000	nan	nan	nan	15.000000	97.000000	1.000000	str	Adam	92116792.000000	nan	MengYang	132
66	81.49%	81.61%	83.28%	81.49%	unknown	nan	nan	unknown	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	halfbaked_em	80
67	81.87%	81.56%	81.94%	81.86%	keras	nan	True	Sequential	16.000000	3688739.000000	nan	10.000000	nan	1.000000	4.000000	nan	nan	nan	nan	nan	1.000000	nan	10.000000	1.000000	str	Adam	14758192.000000	nan	jer2240	37
68	81.49%	80.63%	82.91%	81.48%	keras	nan	True	Functional	25.000000	22089219.000000	nan	16.000000	nan	2.000000	5.000000	1.000000	nan	nan	nan	nan	1.000000	nan	17.000000	1.000000	str	Adam	88362152.000000	6.000000	bobbie8881	28
69	81.56%	81.29%	81.58%	81.56%	keras	True	True	Functional	27.000000	22125635.000000	nan	16.000000	nan	4.000000	5.000000	1.000000	nan	1.000000	nan	nan	nan	nan	19.000000	1.000000	str	SGD	88508248.000000	nan	sdp2158	188
70	81.56%	81.29%	81.58%	81.56%	keras	nan	True	Functional	27.000000	22125635.000000	nan	16.000000	nan	4.000000	5.000000	1.000000	nan	1.000000	nan	nan	nan	nan	19.000000	1.000000	str	SGD	88508248.000000	nan	sdp2158	187
71	81.18%	79.73%	84.34%	81.16%	keras	nan	True	Functional	27.000000	29626691.000000	nan	16.000000	nan	4.000000	5.000000	1.000000	nan	nan	nan	nan	1.000000	nan	19.000000	1.000000	str	Adam	118512472.000000	nan	MengYang	131
72	80.87%	80.35%	81.18%	80.86%	unknown	nan	nan	unknown	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	halfbaked_em	79
73	80.25%	79.80%	80.09%	80.24%	keras	True	True	Functional	28.000000	22256195.000000	nan	16.000000	nan	5.000000	5.000000	1.000000	nan	1.000000	nan	nan	nan	nan	20.000000	1.000000	str	SGD	89030824.000000	nan	sdp2158	207
74	80.09%	79.39%	80.59%	80.08%	unknown	nan	nan	unknown	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	halfbaked_em	72
75	80.09%	79.39%	80.59%	80.08%	unknown	nan	nan	unknown	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	halfbaked_em	57
76	80.09%	79.39%	80.59%	80.08%	unknown	nan	nan	unknown	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	halfbaked_em	77
77	80.09%	79.39%	80.59%	80.08%	unknown	nan	nan	unknown	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	halfbaked_em	68
78	79.40%	79.57%	80.50%	79.39%	keras	True	True	Functional	219.000000	21808931.000000	9.000000	94.000000	94.000000	1.000000	4.000000	1.000000	nan	1.000000	nan	nan	nan	15.000000	94.000000	1.000000	function	Adam	87285864.000000	7.000000	adrianwang	107
79	79.40%	79.28%	79.24%	79.39%	unknown	nan	nan	unknown	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	amsay99	138
80	79.32%	79.18%	79.53%	79.31%	unknown	nan	nan	unknown	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	realdfy	97
81	79.32%	79.18%	79.53%	79.31%	keras	nan	True	Sequential	16.000000	160163.000000	nan	10.000000	nan	1.000000	4.000000	nan	nan	nan	nan	nan	1.000000	nan	10.000000	1.000000	str	Adam	643880.000000	nan	realdfy	103
82	79.32%	79.18%	79.53%	79.31%	keras	nan	True	Sequential	16.000000	1375683.000000	nan	10.000000	nan	1.000000	4.000000	nan	nan	nan	nan	nan	1.000000	nan	10.000000	1.000000	str	Adam	5505960.000000	9.000000	realdfy	112
83	79.32%	79.18%	79.53%	79.31%	keras	nan	True	Sequential	11.000000	10642467.000000	nan	3.000000	nan	2.000000	3.000000	nan	nan	nan	nan	2.000000	1.000000	nan	4.000000	nan	str	Adam	42571368.000000	9.000000	realdfy	117
84	79.32%	79.18%	79.53%	79.31%	keras	nan	True	Sequential	11.000000	4503427.000000	nan	3.000000	nan	2.000000	3.000000	nan	nan	nan	nan	2.000000	1.000000	nan	4.000000	nan	str	Adam	18015208.000000	9.000000	realdfy	118
85	79.32%	79.18%	79.53%	79.31%	keras	nan	True	Sequential	16.000000	190883.000000	nan	10.000000	nan	1.000000	4.000000	nan	nan	nan	nan	nan	1.000000	nan	10.000000	1.000000	str	Adam	766760.000000	9.000000	realdfy	98
86	79.32%	79.18%	79.53%	79.31%	keras	nan	True	Sequential	16.000000	160163.000000	nan	10.000000	nan	1.000000	4.000000	nan	nan	nan	nan	nan	1.000000	nan	10.000000	1.000000	str	Adam	643880.000000	9.000000	realdfy	104
87	79.32%	79.18%	79.53%	79.31%	keras	True	True	Sequential	16.000000	190883.000000	nan	10.000000	nan	1.000000	4.000000	nan	nan	nan	nan	nan	1.000000	nan	10.000000	1.000000	str	Adam	766760.000000	9.000000	realdfy	110
88	78.70%	78.22%	80.11%	78.69%	keras	nan	True	Sequential	5.000000	7086467.000000	nan	nan	nan	4.000000	nan	nan	nan	nan	nan	nan	1.000000	nan	3.000000	1.000000	str	Adam	28346968.000000	7.000000	lprockop	102
89	78.78%	78.91%	79.15%	78.77%	keras	nan	True	Sequential	10.000000	999715.000000	nan	6.000000	nan	1.000000	2.000000	nan	nan	nan	nan	nan	1.000000	nan	6.000000	1.000000	str	Adam	4000936.000000	nan	lprockop	41
90	78.85%	78.19%	79.08%	78.84%	unknown	nan	nan	unknown	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	so2638	58
91	78.85%	78.88%	78.97%	78.85%	unknown	nan	nan	unknown	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	amsay99	126
92	77.85%	77.62%	81.50%	77.84%	keras	nan	True	Sequential	16.000000	3811619.000000	nan	10.000000	nan	1.000000	4.000000	nan	nan	nan	nan	nan	1.000000	nan	10.000000	1.000000	str	Adam	15249704.000000	nan	mcmurrym	219
93	78.39%	77.54%	80.36%	78.38%	keras	nan	True	Sequential	9.000000	8023619.000000	nan	3.000000	nan	2.000000	3.000000	nan	nan	nan	nan	nan	1.000000	nan	4.000000	1.000000	str	Adam	32095976.000000	nan	mymstella	146
94	78.39%	77.54%	80.36%	78.38%	unknown	nan	nan	unknown	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	mymstella	147
95	78.16%	77.81%	79.06%	78.15%	keras	nan	True	Sequential	9.000000	8023619.000000	nan	3.000000	nan	2.000000	3.000000	nan	nan	nan	nan	nan	1.000000	nan	4.000000	1.000000	str	Adam	32095976.000000	nan	mymstella	139
96	78.39%	78.04%	78.08%	78.38%	keras	nan	True	Sequential	16.000000	3811619.000000	nan	10.000000	nan	1.000000	4.000000	nan	nan	nan	nan	nan	1.000000	nan	10.000000	1.000000	str	Adam	15249712.000000	nan	mcmurrym	60
97	77.30%	77.57%	78.23%	77.30%	unknown	nan	nan	unknown	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	amsay99	211
98	77.54%	76.93%	77.46%	77.52%	unknown	nan	nan	unknown	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	amsay99	122
99	75.91%	75.95%	76.03%	75.90%	keras	nan	True	Sequential	16.000000	30417955.000000	nan	10.000000	nan	1.000000	4.000000	nan	nan	nan	nan	nan	1.000000	nan	10.000000	1.000000	str	Adam	121675048.000000	nan	cj2733	208
100	75.91%	75.95%	76.03%	75.90%	keras	nan	True	Sequential	31.000000	18507011.000000	nan	23.000000	nan	1.000000	5.000000	1.000000	nan	nan	nan	nan	1.000000	nan	23.000000	1.000000	str	Adam	74035032.000000	nan	cj2733	209
101	75.91%	75.95%	76.03%	75.90%	keras	nan	True	Sequential	4.000000	3540899.000000	nan	2.000000	nan	1.000000	nan	nan	nan	nan	nan	nan	1.000000	nan	2.000000	1.000000	str	Adam	14164520.000000	nan	cj2733	210
102	76.53%	75.94%	75.96%	76.52%	keras	nan	True	Sequential	10.000000	471443.000000	nan	6.000000	nan	1.000000	2.000000	nan	nan	nan	nan	nan	1.000000	nan	6.000000	1.000000	str	Adam	1887848.000000	nan	so2638	127
103	75.52%	74.51%	77.06%	75.51%	keras	nan	True	Sequential	10.000000	999715.000000	nan	6.000000	nan	1.000000	2.000000	nan	nan	nan	nan	nan	1.000000	nan	6.000000	1.000000	str	Adam	4000936.000000	nan	ivster	190
104	75.52%	74.51%	77.06%	75.51%	keras	True	True	Functional	128.000000	23593859.000000	nan	53.000000	53.000000	1.000000	1.000000	1.000000	16.000000	1.000000	2.000000	nan	nan	nan	49.000000	1.000000	str	SGD	94416728.000000	nan	ivster	191
105	75.52%	74.51%	77.06%	75.51%	keras	nan	True	Sequential	10.000000	999715.000000	nan	6.000000	nan	1.000000	2.000000	nan	nan	nan	nan	nan	1.000000	nan	6.000000	1.000000	str	Adam	4000936.000000	nan	ivster	189
106	74.98%	72.35%	80.83%	74.96%	unknown	nan	nan	unknown	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	amsay99	106
107	75.60%	74.11%	77.31%	75.58%	unknown	nan	nan	unknown	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	amsay99	114
108	75.60%	75.08%	74.95%	75.58%	keras	nan	True	Sequential	16.000000	3811619.000000	nan	10.000000	nan	1.000000	4.000000	nan	nan	nan	nan	nan	1.000000	nan	10.000000	1.000000	str	Adam	15249712.000000	nan	vincent	61
109	74.52%	74.46%	79.05%	74.51%	unknown	nan	nan	unknown	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	amsay99	125
110	74.90%	74.41%	76.20%	74.89%	keras	nan	True	Sequential	16.000000	30417955.000000	nan	10.000000	nan	1.000000	4.000000	nan	nan	nan	nan	nan	1.000000	nan	10.000000	1.000000	str	Adam	121675048.000000	nan	cj2733	192
111	74.90%	74.41%	76.20%	74.89%	keras	nan	True	Sequential	31.000000	18507011.000000	nan	23.000000	nan	1.000000	5.000000	1.000000	nan	nan	nan	nan	1.000000	nan	23.000000	1.000000	str	Adam	74035032.000000	nan	cj2733	193
112	74.90%	74.41%	76.20%	74.89%	keras	nan	True	Sequential	4.000000	3540899.000000	nan	2.000000	nan	1.000000	nan	nan	nan	nan	nan	nan	1.000000	nan	2.000000	1.000000	str	Adam	14164520.000000	nan	cj2733	194
113	75.21%	74.63%	74.56%	75.20%	unknown	nan	nan	unknown	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	amsay99	101
114	74.67%	72.59%	77.33%	74.66%	keras	nan	True	Sequential	13.000000	1852707.000000	nan	8.000000	nan	1.000000	3.000000	nan	nan	nan	nan	nan	1.000000	nan	8.000000	1.000000	str	Adam	7413520.000000	nan	halfbaked_em	36
115	74.59%	74.02%	75.31%	74.58%	unknown	nan	nan	unknown	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	amsay99	40
116	74.59%	73.68%	75.59%	74.58%	unknown	nan	nan	unknown	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	amsay99	65
117	74.59%	74.37%	74.54%	74.58%	keras	nan	True	Sequential	6.000000	7119683.000000	nan	nan	nan	5.000000	nan	nan	nan	nan	nan	nan	1.000000	nan	4.000000	1.000000	str	Adam	28480136.000000	nan	vincent	55
118	74.05%	73.88%	73.99%	74.04%	keras	nan	True	Functional	144.000000	23827459.000000	nan	53.000000	49.000000	2.000000	4.000000	1.000000	16.000000	1.000000	18.000000	nan	nan	nan	50.000000	1.000000	str	Adam	95345640.000000	nan	eminilkay	205
119	74.05%	73.88%	73.99%	74.04%	keras	nan	True	Functional	23.000000	17074499.000000	nan	13.000000	nan	2.000000	5.000000	1.000000	nan	nan	nan	1.000000	1.000000	nan	14.000000	1.000000	str	Adam	68302344.000000	nan	eminilkay	204
120	74.05%	73.88%	73.99%	74.04%	unknown	nan	nan	unknown	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	eminilkay	202
121	74.05%	73.88%	73.99%	74.04%	keras	nan	True	Sequential	16.000000	3811619.000000	nan	10.000000	nan	1.000000	4.000000	nan	nan	nan	nan	nan	1.000000	nan	10.000000	1.000000	str	Adam	15249704.000000	nan	eminilkay	203
122	74.05%	73.88%	73.99%	74.04%	keras	nan	True	Sequential	16.000000	3811619.000000	nan	10.000000	nan	1.000000	4.000000	nan	nan	nan	nan	nan	1.000000	nan	10.000000	1.000000	str	Adam	15249704.000000	nan	eminilkay	201
123	74.21%	73.67%	73.62%	74.19%	unknown	nan	nan	unknown	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	amsay99	123
124	73.43%	71.32%	77.86%	73.41%	unknown	nan	nan	unknown	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	amsay99	124
125	73.20%	72.41%	75.63%	73.19%	keras	nan	True	Sequential	10.000000	999715.000000	nan	6.000000	nan	1.000000	2.000000	nan	nan	nan	nan	nan	1.000000	nan	6.000000	1.000000	str	Adam	4000936.000000	nan	so2638	90
126	73.20%	72.41%	75.63%	73.19%	unknown	nan	nan	unknown	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	so2638	91
127	73.82%	73.28%	73.56%	73.80%	keras	nan	True	Sequential	16.000000	3811619.000000	nan	10.000000	nan	1.000000	4.000000	nan	nan	nan	nan	nan	1.000000	nan	10.000000	1.000000	str	Adam	15249712.000000	nan	ivster	45
128	73.90%	73.49%	73.36%	73.88%	unknown	nan	nan	unknown	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	mymstella	145
129	73.90%	73.49%	73.36%	73.88%	keras	nan	True	Sequential	16.000000	41083.000000	nan	10.000000	nan	1.000000	4.000000	nan	nan	nan	nan	nan	1.000000	nan	10.000000	1.000000	str	Adam	167560.000000	nan	mymstella	144
130	73.35%	71.62%	75.06%	73.34%	keras	nan	True	Sequential	11.000000	471443.000000	nan	6.000000	nan	1.000000	2.000000	nan	nan	nan	nan	1.000000	1.000000	nan	6.000000	1.000000	str	Adam	1887848.000000	nan	so2638	128
131	73.04%	73.09%	73.88%	73.04%	unknown	nan	nan	unknown	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	cj2733	154
132	73.04%	73.09%	73.88%	73.04%	keras	nan	True	Sequential	16.000000	3811619.000000	nan	10.000000	nan	1.000000	4.000000	nan	nan	nan	nan	nan	1.000000	nan	10.000000	1.000000	str	Adam	15249704.000000	nan	cj2733	153
133	72.35%	67.37%	79.06%	72.33%	keras	True	True	Functional	220.000000	22032611.000000	9.000000	94.000000	94.000000	2.000000	4.000000	1.000000	nan	1.000000	nan	nan	nan	15.000000	95.000000	1.000000	str	Adam	88180824.000000	nan	MengYang	121
134	72.50%	72.74%	73.37%	72.50%	keras	nan	True	Sequential	16.000000	3811619.000000	nan	10.000000	nan	1.000000	4.000000	nan	nan	nan	nan	nan	1.000000	nan	10.000000	1.000000	str	Adam	15249712.000000	nan	jer2240	35
135	73.20%	72.19%	73.04%	73.18%	keras	nan	True	Sequential	17.000000	508051.000000	nan	10.000000	nan	1.000000	5.000000	nan	nan	nan	nan	nan	1.000000	nan	10.000000	1.000000	str	Adam	2035432.000000	nan	eminilkay	206
136	72.27%	72.26%	73.53%	72.26%	keras	nan	True	Sequential	10.000000	999715.000000	nan	6.000000	nan	1.000000	2.000000	nan	nan	nan	nan	nan	1.000000	nan	6.000000	1.000000	str	Adam	4000936.000000	nan	so2638	88
137	72.27%	72.26%	73.53%	72.26%	unknown	nan	nan	unknown	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	so2638	89
138	72.42%	72.36%	72.31%	72.41%	keras	nan	True	Sequential	16.000000	3811619.000000	nan	10.000000	nan	1.000000	4.000000	nan	nan	nan	nan	nan	1.000000	nan	10.000000	1.000000	str	Adam	15249712.000000	nan	newusertest	2
139	72.42%	72.36%	72.31%	72.41%	unknown	nan	nan	unknown	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	newusertest	3
140	72.04%	70.24%	74.65%	72.02%	keras	nan	True	Sequential	16.000000	3811619.000000	nan	10.000000	nan	1.000000	4.000000	nan	nan	nan	nan	nan	1.000000	nan	10.000000	1.000000	str	Adam	15249712.000000	nan	sm_5271	39
141	72.19%	70.99%	73.62%	72.17%	keras	nan	True	Sequential	16.000000	3811619.000000	nan	10.000000	nan	1.000000	4.000000	nan	nan	nan	nan	nan	1.000000	nan	10.000000	1.000000	str	Adam	15249712.000000	nan	mikedparrott	1
142	70.57%	68.45%	76.11%	70.55%	unknown	nan	nan	unknown	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	amsay99	50
143	72.19%	72.00%	72.17%	72.18%	unknown	nan	nan	unknown	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	ran_liao	71
144	71.96%	71.98%	72.03%	71.95%	keras	nan	True	Sequential	5.000000	7086467.000000	nan	nan	nan	4.000000	nan	nan	nan	nan	nan	nan	1.000000	nan	3.000000	1.000000	str	Adam	28346968.000000	7.000000	lprockop	24
145	71.19%	69.87%	73.22%	71.17%	keras	nan	True	Sequential	16.000000	3811619.000000	nan	10.000000	nan	1.000000	4.000000	nan	nan	nan	nan	nan	1.000000	nan	10.000000	1.000000	str	SGD	15249712.000000	nan	ran_liao	69
146	71.19%	69.87%	73.22%	71.17%	keras	nan	True	Sequential	16.000000	3811619.000000	nan	10.000000	nan	1.000000	4.000000	nan	nan	nan	nan	nan	1.000000	nan	10.000000	1.000000	str	Adam	15249712.000000	nan	ran_liao	67
147	71.19%	71.02%	71.56%	71.17%	keras	nan	True	Sequential	16.000000	3811619.000000	nan	10.000000	nan	1.000000	4.000000	nan	nan	nan	nan	nan	1.000000	nan	10.000000	1.000000	str	Adam	15249704.000000	nan	nslerner	137
148	70.26%	67.79%	73.33%	70.24%	keras	True	True	Functional	22.000000	16779523.000000	nan	13.000000	nan	2.000000	5.000000	1.000000	nan	nan	nan	nan	1.000000	nan	14.000000	1.000000	str	SGD	67122464.000000	nan	vincent	73
149	70.10%	68.97%	72.08%	70.08%	keras	nan	True	Sequential	16.000000	3811619.000000	nan	10.000000	nan	1.000000	4.000000	nan	nan	nan	nan	nan	1.000000	nan	10.000000	1.000000	str	Adam	15249712.000000	nan	MengYang	66
150	69.09%	68.57%	71.88%	69.09%	unknown	nan	nan	unknown	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	mymstella	178
151	68.47%	67.31%	73.26%	68.47%	keras	nan	True	Sequential	16.000000	3811619.000000	nan	10.000000	nan	1.000000	4.000000	nan	nan	nan	nan	nan	1.000000	nan	10.000000	1.000000	str	Adam	15249704.000000	nan	xuenricky	215
152	69.09%	68.57%	71.88%	69.09%	keras	True	True	Sequential	16.000000	41083.000000	nan	10.000000	nan	1.000000	4.000000	nan	nan	nan	nan	nan	1.000000	nan	10.000000	1.000000	str	Adam	167560.000000	nan	mymstella	177
153	69.56%	69.67%	70.38%	69.55%	keras	nan	True	Functional	128.000000	23593859.000000	nan	53.000000	53.000000	1.000000	1.000000	1.000000	16.000000	1.000000	2.000000	nan	nan	nan	49.000000	1.000000	str	Adam	94416744.000000	6.000000	bobbie8881	29
154	64.21%	54.58%	73.71%	64.19%	unknown	nan	nan	unknown	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	amsay99	113
155	67.93%	67.25%	70.55%	67.92%	keras	nan	True	Sequential	16.000000	3811619.000000	nan	10.000000	nan	1.000000	4.000000	nan	nan	nan	nan	nan	1.000000	nan	10.000000	1.000000	str	Adam	15249712.000000	nan	so2638	42
156	68.32%	65.19%	70.46%	68.30%	keras	nan	True	Sequential	16.000000	3811619.000000	nan	10.000000	nan	1.000000	4.000000	nan	nan	nan	nan	nan	1.000000	nan	10.000000	1.000000	str	Adam	15249712.000000	nan	timnyt	38
157	67.93%	67.25%	70.55%	67.92%	unknown	nan	nan	unknown	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	so2638	43
158	67.47%	67.52%	69.72%	67.46%	keras	nan	True	Sequential	16.000000	3811619.000000	nan	10.000000	nan	1.000000	4.000000	nan	nan	nan	nan	nan	1.000000	nan	10.000000	1.000000	str	Adam	15249704.000000	nan	MengYang	119
159	66.38%	64.78%	70.93%	66.37%	keras	nan	True	Sequential	16.000000	3811619.000000	nan	10.000000	nan	1.000000	4.000000	nan	nan	nan	nan	nan	1.000000	nan	10.000000	1.000000	str	Adam	15249712.000000	nan	miles_degrazia	48
160	60.73%	52.33%	75.15%	60.71%	keras	nan	True	Sequential	16.000000	3811619.000000	nan	10.000000	nan	1.000000	4.000000	nan	nan	nan	nan	nan	1.000000	nan	10.000000	1.000000	str	Adam	15249704.000000	nan	cj2733	155
161	66.15%	57.09%	66.15%	66.13%	keras	True	True	Functional	25.000000	21867987.000000	nan	16.000000	nan	2.000000	5.000000	1.000000	nan	nan	nan	nan	1.000000	nan	17.000000	1.000000	function	Adam	87477176.000000	7.000000	adrianwang	105
162	63.05%	63.21%	63.94%	63.05%	keras	nan	True	Functional	128.000000	23593859.000000	nan	53.000000	53.000000	1.000000	1.000000	1.000000	16.000000	1.000000	2.000000	nan	nan	nan	49.000000	1.000000	str	SGD	94416728.000000	nan	ran_liao	218
163	62.90%	53.50%	67.59%	62.87%	keras	nan	True	Sequential	10.000000	999715.000000	nan	6.000000	nan	1.000000	2.000000	nan	nan	nan	nan	nan	1.000000	nan	6.000000	1.000000	str	Adam	4000936.000000	nan	lprockop	44
164	64.21%	54.43%	56.01%	64.19%	keras	True	True	Functional	222.000000	23016483.000000	9.000000	94.000000	94.000000	4.000000	4.000000	1.000000	nan	1.000000	nan	nan	nan	15.000000	97.000000	1.000000	str	Adam	92116792.000000	nan	MengYang	135
165	61.81%	52.67%	69.63%	61.79%	keras	nan	True	Sequential	16.000000	3811619.000000	nan	10.000000	nan	1.000000	4.000000	nan	nan	nan	nan	nan	1.000000	nan	10.000000	1.000000	str	SGD	15249712.000000	nan	vincent	70
166	61.50%	62.11%	64.36%	61.50%	keras	True	True	Functional	128.000000	23593859.000000	nan	53.000000	53.000000	1.000000	1.000000	1.000000	16.000000	1.000000	2.000000	nan	nan	nan	49.000000	1.000000	str	Adam	94416744.000000	nan	hal2148	15
167	57.71%	57.63%	60.08%	57.71%	unknown	nan	nan	unknown	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	amsay99	108
168	61.19%	50.39%	49.99%	61.17%	keras	True	True	Sequential	9.000000	8023619.000000	nan	3.000000	nan	2.000000	3.000000	nan	nan	nan	nan	nan	1.000000	nan	4.000000	1.000000	str	Adam	32095976.000000	nan	mymstella	182
169	54.84%	48.42%	56.16%	54.81%	keras	nan	True	Functional	22.000000	16779523.000000	nan	13.000000	nan	2.000000	5.000000	1.000000	nan	nan	nan	nan	1.000000	nan	14.000000	1.000000	str	Adam	67122440.000000	nan	mymstella	149
170	54.84%	48.42%	56.16%	54.81%	unknown	nan	nan	unknown	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	mymstella	150
171	58.02%	46.52%	38.86%	57.99%	keras	nan	True	Sequential	13.000000	471635.000000	nan	6.000000	2.000000	1.000000	2.000000	nan	nan	nan	nan	1.000000	1.000000	nan	6.000000	1.000000	str	Adam	1889576.000000	nan	so2638	130
172	52.13%	45.95%	63.62%	52.13%	keras	nan	True	Sequential	16.000000	3811619.000000	nan	10.000000	nan	1.000000	4.000000	nan	nan	nan	nan	nan	1.000000	nan	10.000000	1.000000	str	Adam	15249704.000000	nan	mymstella	142
173	47.33%	38.32%	65.22%	47.33%	keras	nan	True	Sequential	9.000000	8023619.000000	nan	3.000000	nan	2.000000	3.000000	nan	nan	nan	nan	nan	1.000000	nan	4.000000	1.000000	str	Adam	32095976.000000	nan	mymstella	162
174	52.13%	45.95%	63.62%	52.13%	unknown	nan	nan	unknown	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	mymstella	143
175	52.36%	47.99%	47.76%	52.33%	unknown	nan	nan	unknown	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	MengYang	133
176	33.77%	33.78%	33.79%	33.77%	unknown	nan	nan	unknown	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	emileesmaili	5
177	33.77%	33.78%	33.79%	33.77%	keras	nan	True	Sequential	14.000000	1189155.000000	nan	8.000000	nan	1.000000	4.000000	nan	nan	nan	nan	nan	1.000000	nan	8.000000	1.000000	str	Adam	4759312.000000	nan	emileesmaili	4
178	37.88%	26.60%	28.35%	37.83%	keras	nan	True	Sequential	12.000000	471635.000000	nan	6.000000	2.000000	1.000000	2.000000	nan	nan	nan	nan	nan	1.000000	nan	6.000000	1.000000	str	Adam	1889576.000000	nan	so2638	129
179	36.48%	27.44%	24.66%	36.45%	keras	True	True	Sequential	23.000000	19466819.000000	nan	13.000000	nan	3.000000	5.000000	1.000000	nan	nan	nan	nan	1.000000	nan	15.000000	1.000000	str	Adam	77871864.000000	nan	mymstella	175
180	36.48%	27.44%	24.66%	36.45%	unknown	nan	nan	unknown	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	mymstella	176
181	33.00%	32.99%	32.99%	33.00%	keras	nan	True	Sequential	16.000000	3811619.000000	nan	10.000000	nan	1.000000	4.000000	nan	nan	nan	nan	nan	1.000000	nan	10.000000	1.000000	str	Adam	15249712.000000	nan	emileesmaili	6
182	33.38%	16.69%	11.13%	33.33%	keras	nan	True	Sequential	16.000000	3811619.000000	nan	10.000000	nan	1.000000	4.000000	nan	nan	nan	nan	nan	1.000000	nan	10.000000	1.000000	str	Adam	15249712.000000	7.000000	lprockop	25
183	33.38%	16.69%	11.13%	33.33%	unknown	nan	nan	unknown	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	so2638	95
184	33.38%	16.69%	11.13%	33.33%	keras	nan	True	Sequential	10.000000	226595.000000	nan	nan	nan	7.000000	2.000000	nan	nan	nan	nan	nan	1.000000	nan	6.000000	1.000000	str	Adam	908264.000000	nan	so2638	94
185	33.38%	16.69%	11.13%	33.33%	keras	nan	True	Sequential	26.000000	3821603.000000	nan	10.000000	10.000000	1.000000	4.000000	nan	nan	nan	nan	nan	1.000000	nan	10.000000	1.000000	str	Adam	15294504.000000	nan	timnyt	56
186	33.38%	16.69%	11.13%	33.33%	keras	nan	True	Functional	22.000000	16779523.000000	nan	13.000000	nan	2.000000	5.000000	1.000000	nan	nan	nan	nan	1.000000	nan	14.000000	1.000000	str	Adam	67122440.000000	nan	mymstella	151
187	33.38%	16.69%	11.13%	33.33%	unknown	nan	nan	unknown	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	mymstella	152
188	33.38%	16.69%	11.13%	33.33%	keras	nan	True	Sequential	22.000000	8849187.000000	nan	14.000000	nan	1.000000	6.000000	nan	nan	nan	nan	nan	1.000000	nan	14.000000	1.000000	str	Adam	35401152.000000	nan	so2638	51
189	33.38%	16.69%	11.13%	33.33%	unknown	nan	nan	unknown	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	so2638	54
190	33.38%	16.69%	11.13%	33.33%	keras	nan	True	Sequential	26.000000	3821603.000000	nan	10.000000	10.000000	1.000000	4.000000	nan	nan	nan	nan	nan	1.000000	nan	10.000000	1.000000	str	Adam	15294504.000000	nan	timnyt	46
191	33.31%	16.66%	11.10%	33.33%	keras	nan	True	Functional	22.000000	16779523.000000	nan	13.000000	nan	2.000000	5.000000	1.000000	nan	nan	nan	nan	1.000000	nan	14.000000	1.000000	str	Adam	67122464.000000	7.000000	lprockop	32
192	33.31%	16.66%	11.10%	33.33%	keras	nan	True	Functional	22.000000	16779523.000000	nan	13.000000	nan	2.000000	5.000000	1.000000	nan	nan	nan	nan	1.000000	nan	14.000000	1.000000	str	Adam	67122440.000000	7.000000	lprockop	217
193	33.31%	16.66%	11.10%	33.33%	keras	True	True	Functional	22.000000	16779523.000000	nan	13.000000	nan	2.000000	5.000000	1.000000	nan	nan	nan	nan	1.000000	nan	14.000000	1.000000	str	SGD	67122440.000000	nan	nslerner	141
194	33.31%	16.66%	11.10%	33.33%	keras	nan	True	Sequential	25.000000	37859.000000	nan	10.000000	9.000000	1.000000	4.000000	nan	nan	nan	nan	nan	1.000000	nan	10.000000	1.000000	str	Adam	159016.000000	nan	sofiazaidman	212
195	33.31%	16.66%	11.10%	33.33%	keras	nan	True	Sequential	10.000000	999715.000000	nan	6.000000	nan	1.000000	2.000000	nan	nan	nan	nan	nan	1.000000	nan	6.000000	1.000000	str	Adam	4000936.000000	nan	so2638	92
196	33.31%	16.66%	11.10%	33.33%	unknown	nan	nan	unknown	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	so2638	93
197	33.31%	16.66%	11.10%	33.33%	keras	nan	True	Sequential	21.000000	3816611.000000	nan	10.000000	5.000000	1.000000	4.000000	nan	nan	nan	nan	nan	1.000000	nan	10.000000	1.000000	str	Adam	15272088.000000	nan	Rochuz	49
198	33.31%	16.66%	11.10%	33.33%	keras	nan	True	Functional	15.000000	2285955.000000	nan	7.000000	nan	2.000000	1.000000	1.000000	2.000000	1.000000	nan	1.000000	nan	nan	8.000000	nan	CategoricalCrossentropy	Adam	9146472.000000	nan	sdp2158	159
199	33.31%	16.66%	11.10%	33.33%	keras	nan	True	Sequential	16.000000	3811619.000000	nan	10.000000	nan	1.000000	4.000000	nan	nan	nan	nan	nan	1.000000	nan	10.000000	1.000000	str	Adam	15249712.000000	nan	eminilkay	47
200	33.31%	16.66%	11.10%	33.33%	keras	nan	True	Sequential	6.000000	7119683.000000	nan	nan	nan	5.000000	nan	nan	nan	nan	nan	nan	1.000000	nan	4.000000	1.000000	str	SGD	28480136.000000	nan	vincent	81
201	26.49%	21.56%	21.80%	26.47%	keras	nan	True	Functional	25.000000	22089219.000000	nan	16.000000	nan	2.000000	5.000000	1.000000	nan	nan	nan	nan	1.000000	nan	17.000000	1.000000	str	Adam	88362152.000000	nan	Chen	33
202	33.31%	16.66%	11.10%	33.33%	keras	nan	True	Sequential	10.000000	1064227.000000	nan	6.000000	nan	1.000000	2.000000	nan	nan	nan	nan	nan	1.000000	nan	7.000000	nan	function	Adam	4258984.000000	7.000000	adrianwang	99
203	33.31%	16.66%	11.10%	33.33%	unknown	nan	nan	unknown	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	mymstella	164
204	33.31%	16.66%	11.10%	33.33%	keras	nan	True	Functional	128.000000	23593859.000000	nan	53.000000	53.000000	1.000000	1.000000	1.000000	16.000000	1.000000	2.000000	nan	nan	nan	49.000000	1.000000	str	SGD	94416744.000000	nan	Chen	31
205	33.31%	16.66%	11.10%	33.33%	keras	nan	True	Sequential	9.000000	18898977.000000	nan	3.000000	nan	2.000000	3.000000	nan	nan	nan	nan	nan	1.000000	nan	4.000000	nan	str	Adam	75597408.000000	7.000000	lprockop	116
206	33.31%	16.66%	11.10%	33.33%	unknown	nan	nan	unknown	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	Rochuz	53
207	33.31%	16.66%	11.10%	33.33%	unknown	nan	nan	unknown	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	mymstella	173
208	33.31%	16.66%	11.10%	33.33%	keras	nan	True	Functional	22.000000	16779523.000000	nan	13.000000	nan	2.000000	5.000000	1.000000	nan	nan	nan	nan	1.000000	nan	14.000000	1.000000	str	Adam	67122440.000000	nan	mymstella	163
209	33.31%	16.66%	11.10%	33.33%	keras	nan	True	Sequential	16.000000	3811619.000000	nan	10.000000	nan	1.000000	4.000000	nan	nan	nan	nan	nan	1.000000	nan	10.000000	1.000000	str	Adam	15249712.000000	6.000000	bobbie8881	30
210	33.31%	16.66%	11.10%	33.33%	unknown	nan	nan	unknown	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	eminilkay	52
211	33.31%	16.66%	11.10%	33.33%	unknown	nan	nan	unknown	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	mymstella	171
212	33.31%	16.66%	11.10%	33.33%	keras	True	True	Functional	23.000000	19466819.000000	nan	13.000000	nan	3.000000	5.000000	1.000000	nan	nan	nan	nan	1.000000	nan	15.000000	1.000000	str	Adam	77871864.000000	nan	mymstella	170
213	33.31%	16.66%	11.10%	33.33%	unknown	nan	nan	unknown	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	mymstella	166
214	33.31%	16.66%	11.10%	33.33%	keras	nan	True	Functional	22.000000	16779523.000000	nan	13.000000	nan	2.000000	5.000000	1.000000	nan	nan	nan	nan	1.000000	nan	14.000000	1.000000	str	Adam	67122440.000000	nan	mymstella	165
215	33.31%	16.66%	11.10%	33.33%	keras	True	True	Functional	22.000000	16779523.000000	nan	13.000000	nan	2.000000	5.000000	1.000000	nan	nan	nan	nan	1.000000	nan	14.000000	1.000000	str	Adam	67122440.000000	nan	mymstella	172
216	33.31%	16.66%	11.10%	33.33%	keras	nan	True	Sequential	19.000000	3599267.000000	nan	10.000000	3.000000	1.000000	4.000000	nan	nan	nan	nan	nan	1.000000	nan	10.000000	1.000000	str	Adam	14401728.000000	nan	jer2240	59
217	18.13%	12.01%	9.03%	18.14%	keras	nan	True	Sequential	10.000000	3544611.000000	nan	nan	2.000000	7.000000	nan	nan	nan	nan	nan	nan	1.000000	nan	6.000000	1.000000	str	Adam	14181296.000000	nan	so2638	96
218	nan%	nan%	nan%	nan%	keras	True	True	Functional	222.000000	23016483.000000	9.000000	94.000000	94.000000	4.000000	4.000000	1.000000	nan	1.000000	nan	nan	nan	15.000000	97.000000	1.000000	str	Adam	92116792.000000	nan	MengYang	148
219	nan%	nan%	nan%	nan%	keras	True	True	Functional	222.000000	23016483.000000	9.000000	94.000000	94.000000	4.000000	4.000000	1.000000	nan	1.000000	nan	nan	nan	15.000000	97.000000	1.000000	str	Adam	92116792.000000	nan	MengYang	140

# Reload model and data
import tensorflow as tf
model = tf.keras.models.load_model('model3.h5',compile=False)
model.compile(
    optimizer="adam", # to use callback set lr arg such as Adam(lr=0.001) instead
    loss= 'categorical_crossentropy',
    metrics=['accuracy'])
model.summary()

onnx_model = model_to_onnx(model, framework='keras',
                          transfer_learning=False,
                          deep_learning=True)

with open("model.onnx", "wb") as f:
    f.write(onnx_model.SerializeToString())

apiurl='https://bb4mkgq8sb.execute-api.us-east-2.amazonaws.com/prod/m'

import aimodelshare as ai
experiment= ai.Experiment(apiurl)

from aimodelshare.aws import set_credentials
set_credentials(apiurl=apiurl)

# Submit Model 3 to Competition Leaderboard
experiment.submit_model(model_filepath = "model.onnx",
                                 preprocessor_filepath="preprocessor.zip",
                                 prediction_submission=prediction_labels)

data = experiment.get_leaderboard()
experiment.stylize_leaderboard(data)

Model: "sequential_2"
_________________________________________________________________
 Layer (type)                Output Shape              Param #   
=================================================================
 conv2d_20 (Conv2D)          (None, 192, 192, 32)      896       
                                                                 
 conv2d_21 (Conv2D)          (None, 192, 192, 32)      1056      
                                                                 
 flatten_2 (Flatten)         (None, 1179648)           0         
                                                                 
 dense_2 (Dense)             (None, 3)                 3538947   
                                                                 
=================================================================
Total params: 3,540,899
Trainable params: 3,540,899
Non-trainable params: 0
_________________________________________________________________
AI Modelshare Username:··········
AI Modelshare Password:··········
AI Model Share login credentials set successfully.
Insert search tags to help users find your model (optional): cj2733
Provide any useful notes about your model (optional): model12

Your model has been submitted as model version 210

To submit code used to create this model or to view current leaderboard navigate to Model Playground: 

 https://www.modelshare.org/detail/model:3340

	accuracy	f1_score	precision	recall	ml_framework	transfer_learning	deep_learning	model_type	depth	num_params	averagepooling2d_layers	conv2d_layers	batchnormalization_layers	dense_layers	maxpooling2d_layers	inputlayer_layers	add_layers	globalaveragepooling2d_layers	zeropadding2d_layers	dropout_layers	flatten_layers	concatenate_layers	relu_act	softmax_act	loss	optimizer	memory_size	team	username	version
0	96.36%	96.37%	96.38%	96.36%	unknown	nan	nan	unknown	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	francesyang	23
1	96.28%	96.27%	96.30%	96.28%	unknown	nan	nan	unknown	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	francesyang	22
2	95.82%	95.82%	95.88%	95.82%	unknown	nan	nan	unknown	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	francesyang	20
3	95.58%	95.59%	95.60%	95.58%	unknown	nan	nan	unknown	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	francesyang	9
4	94.42%	94.42%	94.44%	94.42%	keras	nan	True	Sequential	26.000000	117651.000000	nan	10.000000	9.000000	1.000000	5.000000	nan	nan	nan	nan	nan	1.000000	nan	10.000000	1.000000	str	Adam	478136.000000	nan	oliverhegi	78
5	94.04%	94.03%	94.03%	94.03%	keras	nan	True	Sequential	25.000000	37859.000000	nan	10.000000	9.000000	1.000000	4.000000	nan	nan	nan	nan	nan	1.000000	nan	10.000000	1.000000	str	Adam	159016.000000	nan	sofiazaidman	186
6	93.73%	93.71%	93.71%	93.72%	keras	True	True	Functional	219.000000	21808931.000000	9.000000	94.000000	94.000000	1.000000	4.000000	1.000000	nan	1.000000	nan	nan	nan	15.000000	94.000000	1.000000	str	Adam	87285904.000000	nan	hal2148	18
7	93.65%	93.66%	93.79%	93.65%	keras	nan	True	Sequential	25.000000	37859.000000	nan	10.000000	9.000000	1.000000	4.000000	nan	nan	nan	nan	nan	1.000000	nan	10.000000	1.000000	str	Adam	159016.000000	nan	sofiazaidman	185
8	93.65%	93.66%	93.79%	93.65%	keras	nan	True	Sequential	25.000000	37859.000000	nan	10.000000	9.000000	1.000000	4.000000	nan	nan	nan	nan	nan	1.000000	nan	10.000000	1.000000	str	Adam	159016.000000	nan	sofiazaidman	184
9	92.87%	92.86%	92.86%	92.87%	keras	nan	True	Sequential	25.000000	58147.000000	nan	10.000000	9.000000	1.000000	4.000000	nan	nan	nan	nan	nan	1.000000	nan	10.000000	1.000000	str	Adam	240120.000000	nan	sofiazaidman	82
10	92.72%	92.68%	92.72%	92.71%	keras	nan	True	Sequential	19.000000	3686819.000000	nan	12.000000	nan	1.000000	5.000000	nan	nan	nan	nan	nan	1.000000	nan	12.000000	1.000000	str	Adam	14751136.000000	nan	Chen	87
11	92.49%	92.46%	92.50%	92.48%	keras	nan	True	Sequential	30.000000	58339.000000	nan	12.000000	11.000000	1.000000	5.000000	nan	nan	nan	nan	nan	1.000000	nan	12.000000	1.000000	str	Adam	242472.000000	nan	sofiazaidman	100
12	92.18%	92.11%	92.44%	92.17%	keras	True	True	Functional	25.000000	21867987.000000	nan	16.000000	nan	2.000000	5.000000	1.000000	nan	nan	nan	nan	1.000000	nan	17.000000	1.000000	function	Adam	87477176.000000	7.000000	adrianwang	115
13	91.71%	91.66%	91.68%	91.71%	keras	nan	True	Sequential	16.000000	3811619.000000	nan	10.000000	nan	1.000000	4.000000	nan	nan	nan	nan	nan	1.000000	nan	10.000000	1.000000	str	Adam	15249712.000000	nan	hal2148	14
14	91.48%	91.51%	91.65%	91.48%	keras	nan	True	Sequential	24.000000	3820963.000000	nan	10.000000	8.000000	1.000000	4.000000	nan	nan	nan	nan	nan	1.000000	nan	10.000000	1.000000	str	Adam	15290936.000000	nan	sofiazaidman	62
15	91.32%	91.32%	91.36%	91.32%	keras	nan	True	Sequential	8.000000	1794095.000000	nan	4.000000	1.000000	1.000000	1.000000	nan	nan	nan	nan	nan	1.000000	nan	4.000000	1.000000	str	Adam	7178376.000000	nan	jer2240	160
16	91.32%	91.32%	91.36%	91.32%	keras	nan	True	Sequential	16.000000	7179555.000000	nan	10.000000	nan	1.000000	4.000000	nan	nan	nan	nan	nan	1.000000	nan	10.000000	1.000000	str	Adam	28721448.000000	nan	jer2240	158
17	91.09%	91.10%	91.16%	91.09%	keras	nan	True	Sequential	16.000000	3811619.000000	nan	10.000000	nan	1.000000	4.000000	nan	nan	nan	nan	nan	1.000000	nan	10.000000	1.000000	str	Adam	15249712.000000	6.000000	bobbie8881	10
18	91.01%	91.07%	91.45%	91.02%	keras	nan	True	Sequential	16.000000	3596579.000000	nan	10.000000	nan	1.000000	4.000000	nan	nan	nan	nan	nan	1.000000	nan	10.000000	1.000000	str	Adam	14389552.000000	nan	jer2240	63
19	91.09%	91.03%	91.12%	91.09%	keras	nan	True	Sequential	19.000000	3877923.000000	nan	12.000000	nan	1.000000	5.000000	nan	nan	nan	nan	nan	1.000000	nan	12.000000	1.000000	str	Adam	15515528.000000	nan	sdp2158	157
20	90.86%	90.90%	90.98%	90.86%	keras	True	True	Functional	219.000000	21808931.000000	9.000000	94.000000	94.000000	1.000000	4.000000	1.000000	nan	1.000000	nan	nan	nan	15.000000	94.000000	1.000000	str	Adam	87285904.000000	nan	hal2148	19
21	90.55%	90.57%	91.00%	90.55%	keras	nan	True	Sequential	17.000000	115795.000000	nan	10.000000	nan	1.000000	5.000000	nan	nan	nan	nan	nan	1.000000	nan	10.000000	1.000000	str	Adam	466416.000000	nan	oliverhegi	75
22	90.01%	90.15%	91.61%	90.01%	keras	True	True	Functional	25.000000	21867987.000000	nan	16.000000	nan	2.000000	5.000000	1.000000	nan	nan	nan	nan	1.000000	nan	17.000000	1.000000	function	Adam	87477176.000000	7.000000	adrianwang	109
23	90.32%	90.26%	90.28%	90.31%	keras	nan	True	Sequential	16.000000	3811619.000000	nan	10.000000	nan	1.000000	4.000000	nan	nan	nan	nan	nan	1.000000	nan	10.000000	1.000000	str	Adam	15249712.000000	nan	bobbie8881	26
24	90.32%	90.26%	90.28%	90.31%	keras	nan	True	Sequential	16.000000	3811619.000000	nan	10.000000	nan	1.000000	4.000000	nan	nan	nan	nan	nan	1.000000	nan	10.000000	1.000000	str	Adam	15249712.000000	6.000000	bobbie8881	27
25	89.39%	89.40%	90.24%	89.39%	keras	nan	True	Functional	44.000000	459971.000000	nan	16.000000	16.000000	1.000000	4.000000	1.000000	nan	1.000000	nan	nan	nan	5.000000	16.000000	1.000000	str	Adam	1852568.000000	nan	ran_liao	74
26	89.39%	89.26%	89.68%	89.38%	keras	nan	True	Functional	25.000000	22089219.000000	nan	16.000000	nan	2.000000	5.000000	1.000000	nan	nan	nan	nan	1.000000	nan	17.000000	1.000000	str	Adam	88362152.000000	nan	Chen	76
27	89.16%	89.18%	89.79%	89.15%	keras	nan	True	Sequential	16.000000	56995.000000	nan	10.000000	nan	1.000000	4.000000	nan	nan	nan	nan	nan	1.000000	nan	10.000000	1.000000	str	Adam	231216.000000	nan	sofiazaidman	11
28	89.08%	89.19%	89.69%	89.08%	keras	nan	True	Sequential	16.000000	3811619.000000	nan	10.000000	nan	1.000000	4.000000	nan	nan	nan	nan	nan	1.000000	nan	10.000000	1.000000	str	Adam	15249712.000000	nan	francesyang	7
29	89.08%	89.15%	89.35%	89.08%	keras	nan	True	Sequential	12.000000	1793199.000000	3.000000	6.000000	1.000000	1.000000	nan	nan	nan	nan	nan	nan	1.000000	nan	6.000000	1.000000	str	Adam	7175400.000000	nan	jer2240	161
30	89.08%	89.15%	89.35%	89.08%	keras	nan	True	Sequential	12.000000	1793199.000000	3.000000	6.000000	1.000000	1.000000	nan	nan	nan	nan	nan	nan	1.000000	nan	6.000000	1.000000	str	Adam	7175400.000000	nan	jer2240	169
31	89.00%	88.96%	88.94%	89.00%	keras	nan	True	Sequential	31.000000	18507011.000000	nan	23.000000	nan	1.000000	5.000000	1.000000	nan	nan	nan	nan	1.000000	nan	23.000000	1.000000	str	Adam	74035032.000000	nan	cj2733	199
32	89.00%	88.96%	88.94%	89.00%	keras	nan	True	Sequential	16.000000	30417955.000000	nan	10.000000	nan	1.000000	4.000000	nan	nan	nan	nan	nan	1.000000	nan	10.000000	1.000000	str	Adam	121675048.000000	nan	cj2733	198
33	89.00%	88.96%	88.94%	89.00%	keras	nan	True	Sequential	4.000000	3540899.000000	nan	2.000000	nan	1.000000	nan	nan	nan	nan	nan	nan	1.000000	nan	2.000000	1.000000	str	Adam	14164520.000000	nan	cj2733	200
34	88.69%	88.46%	88.93%	88.68%	keras	True	True	Functional	220.000000	25473251.000000	9.000000	94.000000	94.000000	2.000000	4.000000	1.000000	nan	nan	nan	nan	1.000000	15.000000	95.000000	1.000000	str	Adam	101943424.000000	nan	francesyang	8
35	88.61%	88.61%	88.79%	88.61%	keras	nan	True	Sequential	16.000000	3811619.000000	nan	10.000000	nan	1.000000	4.000000	nan	nan	nan	nan	nan	1.000000	nan	10.000000	1.000000	str	Adam	15249704.000000	7.000000	lprockop	111
36	88.30%	88.36%	88.78%	88.30%	keras	nan	True	Sequential	16.000000	3811619.000000	nan	10.000000	nan	1.000000	4.000000	nan	nan	nan	nan	nan	1.000000	nan	10.000000	1.000000	str	Adam	15249712.000000	nan	mcmurrym	34
37	88.07%	88.05%	88.60%	88.07%	keras	nan	True	Sequential	16.000000	29251.000000	nan	10.000000	nan	1.000000	4.000000	nan	nan	nan	nan	nan	1.000000	nan	10.000000	1.000000	str	Adam	120240.000000	nan	sofiazaidman	21
38	87.99%	88.02%	88.09%	87.99%	keras	nan	True	Functional	14.000000	1852707.000000	3.000000	8.000000	nan	1.000000	nan	1.000000	nan	nan	nan	nan	1.000000	nan	8.000000	1.000000	str	Adam	7413512.000000	nan	jer2240	183
39	87.76%	87.69%	88.23%	87.76%	keras	nan	True	Sequential	4.000000	3540899.000000	nan	2.000000	nan	1.000000	nan	nan	nan	nan	nan	nan	1.000000	nan	2.000000	1.000000	str	Adam	14164520.000000	nan	cj2733	197
40	87.76%	87.69%	88.23%	87.76%	keras	nan	True	Sequential	31.000000	18507011.000000	nan	23.000000	nan	1.000000	5.000000	1.000000	nan	nan	nan	nan	1.000000	nan	23.000000	1.000000	str	Adam	74035032.000000	nan	cj2733	196
41	87.76%	87.69%	88.23%	87.76%	keras	nan	True	Sequential	16.000000	30417955.000000	nan	10.000000	nan	1.000000	4.000000	nan	nan	nan	nan	nan	1.000000	nan	10.000000	1.000000	str	Adam	121675048.000000	nan	cj2733	195
42	87.68%	87.60%	87.63%	87.68%	keras	True	True	Functional	219.000000	21808931.000000	9.000000	94.000000	94.000000	1.000000	4.000000	1.000000	nan	1.000000	nan	nan	nan	15.000000	94.000000	1.000000	str	Adam	87285904.000000	nan	hal2148	17
43	86.99%	87.14%	87.73%	86.99%	keras	nan	True	Functional	11.000000	999715.000000	2.000000	6.000000	nan	1.000000	nan	1.000000	nan	nan	nan	nan	1.000000	nan	6.000000	1.000000	str	Adam	4000936.000000	nan	jer2240	174
44	86.52%	86.49%	88.46%	86.52%	keras	nan	True	Sequential	26.000000	3821603.000000	nan	10.000000	10.000000	1.000000	4.000000	nan	nan	nan	nan	nan	1.000000	nan	10.000000	1.000000	str	Adam	15294504.000000	nan	tinaz0407	64
45	86.29%	85.96%	86.92%	86.28%	keras	nan	True	Functional	25.000000	22089219.000000	nan	16.000000	nan	2.000000	5.000000	1.000000	nan	nan	nan	nan	1.000000	nan	17.000000	1.000000	str	Adam	88362104.000000	nan	MengYang	120
46	85.75%	85.58%	85.74%	85.74%	keras	nan	True	Sequential	6.000000	7090627.000000	nan	nan	nan	5.000000	nan	nan	nan	nan	nan	nan	1.000000	nan	4.000000	1.000000	str	SGD	28363912.000000	nan	hal2148	13
47	85.36%	84.78%	87.45%	85.35%	keras	nan	True	Sequential	19.000000	4596515.000000	nan	12.000000	nan	1.000000	5.000000	nan	nan	nan	nan	nan	1.000000	nan	12.000000	1.000000	nan	NoneType	18389896.000000	nan	sdp2158	156
48	85.21%	84.95%	85.93%	85.20%	keras	True	True	Functional	219.000000	21808931.000000	9.000000	94.000000	94.000000	1.000000	4.000000	1.000000	nan	1.000000	nan	nan	nan	15.000000	94.000000	1.000000	str	Adam	87285904.000000	nan	sofiazaidman	12
49	83.97%	83.48%	84.67%	83.96%	unknown	nan	nan	unknown	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	halfbaked_em	85
50	83.97%	83.48%	84.67%	83.96%	unknown	nan	nan	unknown	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	halfbaked_em	86
51	83.97%	83.48%	84.67%	83.96%	unknown	nan	nan	unknown	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	halfbaked_em	84
52	83.97%	83.48%	84.67%	83.96%	unknown	nan	nan	unknown	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	halfbaked_em	83
53	83.19%	83.15%	83.62%	83.18%	keras	True	True	Functional	21.000000	14716227.000000	nan	13.000000	nan	1.000000	5.000000	1.000000	nan	1.000000	nan	nan	nan	nan	13.000000	1.000000	str	Adam	58869040.000000	nan	hal2148	16
54	82.65%	82.85%	86.12%	82.65%	keras	nan	True	Sequential	23.000000	19466819.000000	nan	13.000000	nan	3.000000	5.000000	1.000000	nan	nan	nan	nan	1.000000	nan	15.000000	1.000000	str	Adam	77871864.000000	nan	mymstella	167
55	82.65%	82.85%	86.12%	82.65%	unknown	nan	nan	unknown	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	mymstella	168
56	83.04%	82.95%	83.06%	83.03%	keras	True	True	Functional	222.000000	23016483.000000	9.000000	94.000000	94.000000	4.000000	4.000000	1.000000	nan	1.000000	nan	nan	nan	15.000000	97.000000	1.000000	str	Adam	92116792.000000	nan	MengYang	134
57	82.49%	82.39%	82.35%	82.49%	unknown	nan	nan	unknown	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	mymstella	180
58	82.49%	82.39%	82.35%	82.49%	keras	True	True	Sequential	5.000000	36967811.000000	nan	1.000000	nan	2.000000	1.000000	nan	nan	nan	nan	nan	1.000000	nan	2.000000	1.000000	str	Adam	147872136.000000	nan	mymstella	181
59	82.49%	82.39%	82.35%	82.49%	keras	True	True	Sequential	5.000000	36967811.000000	nan	1.000000	nan	2.000000	1.000000	nan	nan	nan	nan	nan	1.000000	nan	2.000000	1.000000	str	Adam	147872136.000000	nan	mymstella	179
60	82.34%	82.14%	82.07%	82.33%	keras	nan	True	Sequential	19.000000	6268195.000000	nan	12.000000	nan	1.000000	5.000000	nan	nan	nan	nan	nan	1.000000	nan	12.000000	1.000000	nan	NoneType	25076616.000000	nan	sdp2158	136
61	81.80%	81.74%	82.37%	81.79%	keras	True	True	Functional	222.000000	23016483.000000	9.000000	94.000000	94.000000	4.000000	4.000000	1.000000	nan	1.000000	nan	nan	nan	15.000000	97.000000	1.000000	str	Adam	92116792.000000	nan	MengYang	132
62	81.49%	81.61%	83.28%	81.49%	unknown	nan	nan	unknown	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	halfbaked_em	80
63	81.87%	81.56%	81.94%	81.86%	keras	nan	True	Sequential	16.000000	3688739.000000	nan	10.000000	nan	1.000000	4.000000	nan	nan	nan	nan	nan	1.000000	nan	10.000000	1.000000	str	Adam	14758192.000000	nan	jer2240	37
64	81.49%	80.63%	82.91%	81.48%	keras	nan	True	Functional	25.000000	22089219.000000	nan	16.000000	nan	2.000000	5.000000	1.000000	nan	nan	nan	nan	1.000000	nan	17.000000	1.000000	str	Adam	88362152.000000	6.000000	bobbie8881	28
65	81.18%	79.73%	84.34%	81.16%	keras	nan	True	Functional	27.000000	29626691.000000	nan	16.000000	nan	4.000000	5.000000	1.000000	nan	nan	nan	nan	1.000000	nan	19.000000	1.000000	str	Adam	118512472.000000	nan	MengYang	131
66	81.56%	81.29%	81.58%	81.56%	keras	nan	True	Functional	27.000000	22125635.000000	nan	16.000000	nan	4.000000	5.000000	1.000000	nan	1.000000	nan	nan	nan	nan	19.000000	1.000000	str	SGD	88508248.000000	nan	sdp2158	187
67	81.56%	81.29%	81.58%	81.56%	keras	True	True	Functional	27.000000	22125635.000000	nan	16.000000	nan	4.000000	5.000000	1.000000	nan	1.000000	nan	nan	nan	nan	19.000000	1.000000	str	SGD	88508248.000000	nan	sdp2158	188
68	80.87%	80.35%	81.18%	80.86%	unknown	nan	nan	unknown	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	halfbaked_em	79
69	80.25%	79.80%	80.09%	80.24%	keras	True	True	Functional	28.000000	22256195.000000	nan	16.000000	nan	5.000000	5.000000	1.000000	nan	1.000000	nan	nan	nan	nan	20.000000	1.000000	str	SGD	89030824.000000	nan	sdp2158	207
70	80.09%	79.39%	80.59%	80.08%	unknown	nan	nan	unknown	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	halfbaked_em	77
71	80.09%	79.39%	80.59%	80.08%	unknown	nan	nan	unknown	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	halfbaked_em	68
72	80.09%	79.39%	80.59%	80.08%	unknown	nan	nan	unknown	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	halfbaked_em	72
73	80.09%	79.39%	80.59%	80.08%	unknown	nan	nan	unknown	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	halfbaked_em	57
74	79.40%	79.57%	80.50%	79.39%	keras	True	True	Functional	219.000000	21808931.000000	9.000000	94.000000	94.000000	1.000000	4.000000	1.000000	nan	1.000000	nan	nan	nan	15.000000	94.000000	1.000000	function	Adam	87285864.000000	7.000000	adrianwang	107
75	79.40%	79.28%	79.24%	79.39%	unknown	nan	nan	unknown	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	amsay99	138
76	79.32%	79.18%	79.53%	79.31%	keras	nan	True	Sequential	16.000000	160163.000000	nan	10.000000	nan	1.000000	4.000000	nan	nan	nan	nan	nan	1.000000	nan	10.000000	1.000000	str	Adam	643880.000000	9.000000	realdfy	104
77	79.32%	79.18%	79.53%	79.31%	keras	nan	True	Sequential	16.000000	160163.000000	nan	10.000000	nan	1.000000	4.000000	nan	nan	nan	nan	nan	1.000000	nan	10.000000	1.000000	str	Adam	643880.000000	nan	realdfy	103
78	79.32%	79.18%	79.53%	79.31%	keras	True	True	Sequential	16.000000	190883.000000	nan	10.000000	nan	1.000000	4.000000	nan	nan	nan	nan	nan	1.000000	nan	10.000000	1.000000	str	Adam	766760.000000	9.000000	realdfy	110
79	79.32%	79.18%	79.53%	79.31%	keras	nan	True	Sequential	16.000000	1375683.000000	nan	10.000000	nan	1.000000	4.000000	nan	nan	nan	nan	nan	1.000000	nan	10.000000	1.000000	str	Adam	5505960.000000	9.000000	realdfy	112
80	79.32%	79.18%	79.53%	79.31%	keras	nan	True	Sequential	16.000000	190883.000000	nan	10.000000	nan	1.000000	4.000000	nan	nan	nan	nan	nan	1.000000	nan	10.000000	1.000000	str	Adam	766760.000000	9.000000	realdfy	98
81	79.32%	79.18%	79.53%	79.31%	keras	nan	True	Sequential	11.000000	4503427.000000	nan	3.000000	nan	2.000000	3.000000	nan	nan	nan	nan	2.000000	1.000000	nan	4.000000	nan	str	Adam	18015208.000000	9.000000	realdfy	118
82	79.32%	79.18%	79.53%	79.31%	keras	nan	True	Sequential	11.000000	10642467.000000	nan	3.000000	nan	2.000000	3.000000	nan	nan	nan	nan	2.000000	1.000000	nan	4.000000	nan	str	Adam	42571368.000000	9.000000	realdfy	117
83	79.32%	79.18%	79.53%	79.31%	unknown	nan	nan	unknown	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	realdfy	97
84	78.78%	78.91%	79.15%	78.77%	keras	nan	True	Sequential	10.000000	999715.000000	nan	6.000000	nan	1.000000	2.000000	nan	nan	nan	nan	nan	1.000000	nan	6.000000	1.000000	str	Adam	4000936.000000	nan	lprockop	41
85	78.70%	78.22%	80.11%	78.69%	keras	nan	True	Sequential	5.000000	7086467.000000	nan	nan	nan	4.000000	nan	nan	nan	nan	nan	nan	1.000000	nan	3.000000	1.000000	str	Adam	28346968.000000	7.000000	lprockop	102
86	78.85%	78.19%	79.08%	78.84%	unknown	nan	nan	unknown	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	so2638	58
87	78.85%	78.88%	78.97%	78.85%	unknown	nan	nan	unknown	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	amsay99	126
88	78.39%	77.54%	80.36%	78.38%	keras	nan	True	Sequential	9.000000	8023619.000000	nan	3.000000	nan	2.000000	3.000000	nan	nan	nan	nan	nan	1.000000	nan	4.000000	1.000000	str	Adam	32095976.000000	nan	mymstella	146
89	78.39%	77.54%	80.36%	78.38%	unknown	nan	nan	unknown	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	mymstella	147
90	78.16%	77.81%	79.06%	78.15%	keras	nan	True	Sequential	9.000000	8023619.000000	nan	3.000000	nan	2.000000	3.000000	nan	nan	nan	nan	nan	1.000000	nan	4.000000	1.000000	str	Adam	32095976.000000	nan	mymstella	139
91	78.39%	78.04%	78.08%	78.38%	keras	nan	True	Sequential	16.000000	3811619.000000	nan	10.000000	nan	1.000000	4.000000	nan	nan	nan	nan	nan	1.000000	nan	10.000000	1.000000	str	Adam	15249712.000000	nan	mcmurrym	60
92	77.54%	76.93%	77.46%	77.52%	unknown	nan	nan	unknown	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	amsay99	122
93	76.53%	75.94%	75.96%	76.52%	keras	nan	True	Sequential	10.000000	471443.000000	nan	6.000000	nan	1.000000	2.000000	nan	nan	nan	nan	nan	1.000000	nan	6.000000	1.000000	str	Adam	1887848.000000	nan	so2638	127
94	75.91%	75.95%	76.03%	75.90%	keras	nan	True	Sequential	31.000000	18507011.000000	nan	23.000000	nan	1.000000	5.000000	1.000000	nan	nan	nan	nan	1.000000	nan	23.000000	1.000000	str	Adam	74035032.000000	nan	cj2733	209
95	75.91%	75.95%	76.03%	75.90%	keras	nan	True	Sequential	16.000000	30417955.000000	nan	10.000000	nan	1.000000	4.000000	nan	nan	nan	nan	nan	1.000000	nan	10.000000	1.000000	str	Adam	121675048.000000	nan	cj2733	208
96	75.91%	75.95%	76.03%	75.90%	keras	nan	True	Sequential	4.000000	3540899.000000	nan	2.000000	nan	1.000000	nan	nan	nan	nan	nan	nan	1.000000	nan	2.000000	1.000000	str	Adam	14164520.000000	nan	cj2733	210
97	75.52%	74.51%	77.06%	75.51%	keras	nan	True	Sequential	10.000000	999715.000000	nan	6.000000	nan	1.000000	2.000000	nan	nan	nan	nan	nan	1.000000	nan	6.000000	1.000000	str	Adam	4000936.000000	nan	ivster	189
98	75.52%	74.51%	77.06%	75.51%	keras	nan	True	Sequential	10.000000	999715.000000	nan	6.000000	nan	1.000000	2.000000	nan	nan	nan	nan	nan	1.000000	nan	6.000000	1.000000	str	Adam	4000936.000000	nan	ivster	190
99	75.52%	74.51%	77.06%	75.51%	keras	True	True	Functional	128.000000	23593859.000000	nan	53.000000	53.000000	1.000000	1.000000	1.000000	16.000000	1.000000	2.000000	nan	nan	nan	49.000000	1.000000	str	SGD	94416728.000000	nan	ivster	191
100	74.98%	72.35%	80.83%	74.96%	unknown	nan	nan	unknown	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	amsay99	106
101	75.60%	74.11%	77.31%	75.58%	unknown	nan	nan	unknown	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	amsay99	114
102	75.60%	75.08%	74.95%	75.58%	keras	nan	True	Sequential	16.000000	3811619.000000	nan	10.000000	nan	1.000000	4.000000	nan	nan	nan	nan	nan	1.000000	nan	10.000000	1.000000	str	Adam	15249712.000000	nan	vincent	61
103	74.52%	74.46%	79.05%	74.51%	unknown	nan	nan	unknown	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	amsay99	125
104	74.90%	74.41%	76.20%	74.89%	keras	nan	True	Sequential	4.000000	3540899.000000	nan	2.000000	nan	1.000000	nan	nan	nan	nan	nan	nan	1.000000	nan	2.000000	1.000000	str	Adam	14164520.000000	nan	cj2733	194
105	74.90%	74.41%	76.20%	74.89%	keras	nan	True	Sequential	16.000000	30417955.000000	nan	10.000000	nan	1.000000	4.000000	nan	nan	nan	nan	nan	1.000000	nan	10.000000	1.000000	str	Adam	121675048.000000	nan	cj2733	192
106	74.90%	74.41%	76.20%	74.89%	keras	nan	True	Sequential	31.000000	18507011.000000	nan	23.000000	nan	1.000000	5.000000	1.000000	nan	nan	nan	nan	1.000000	nan	23.000000	1.000000	str	Adam	74035032.000000	nan	cj2733	193
107	75.21%	74.63%	74.56%	75.20%	unknown	nan	nan	unknown	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	amsay99	101
108	74.67%	72.59%	77.33%	74.66%	keras	nan	True	Sequential	13.000000	1852707.000000	nan	8.000000	nan	1.000000	3.000000	nan	nan	nan	nan	nan	1.000000	nan	8.000000	1.000000	str	Adam	7413520.000000	nan	halfbaked_em	36
109	74.59%	74.02%	75.31%	74.58%	unknown	nan	nan	unknown	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	amsay99	40
110	74.59%	73.68%	75.59%	74.58%	unknown	nan	nan	unknown	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	amsay99	65
111	74.59%	74.37%	74.54%	74.58%	keras	nan	True	Sequential	6.000000	7119683.000000	nan	nan	nan	5.000000	nan	nan	nan	nan	nan	nan	1.000000	nan	4.000000	1.000000	str	Adam	28480136.000000	nan	vincent	55
112	74.05%	73.88%	73.99%	74.04%	keras	nan	True	Sequential	16.000000	3811619.000000	nan	10.000000	nan	1.000000	4.000000	nan	nan	nan	nan	nan	1.000000	nan	10.000000	1.000000	str	Adam	15249704.000000	nan	eminilkay	201
113	74.05%	73.88%	73.99%	74.04%	keras	nan	True	Functional	23.000000	17074499.000000	nan	13.000000	nan	2.000000	5.000000	1.000000	nan	nan	nan	1.000000	1.000000	nan	14.000000	1.000000	str	Adam	68302344.000000	nan	eminilkay	204
114	74.05%	73.88%	73.99%	74.04%	keras	nan	True	Sequential	16.000000	3811619.000000	nan	10.000000	nan	1.000000	4.000000	nan	nan	nan	nan	nan	1.000000	nan	10.000000	1.000000	str	Adam	15249704.000000	nan	eminilkay	203
115	74.05%	73.88%	73.99%	74.04%	unknown	nan	nan	unknown	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	eminilkay	202
116	74.05%	73.88%	73.99%	74.04%	keras	nan	True	Functional	144.000000	23827459.000000	nan	53.000000	49.000000	2.000000	4.000000	1.000000	16.000000	1.000000	18.000000	nan	nan	nan	50.000000	1.000000	str	Adam	95345640.000000	nan	eminilkay	205
117	73.43%	71.32%	77.86%	73.41%	unknown	nan	nan	unknown	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	amsay99	124
118	74.21%	73.67%	73.62%	74.19%	unknown	nan	nan	unknown	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	amsay99	123
119	73.20%	72.41%	75.63%	73.19%	keras	nan	True	Sequential	10.000000	999715.000000	nan	6.000000	nan	1.000000	2.000000	nan	nan	nan	nan	nan	1.000000	nan	6.000000	1.000000	str	Adam	4000936.000000	nan	so2638	90
120	73.20%	72.41%	75.63%	73.19%	unknown	nan	nan	unknown	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	so2638	91
121	73.82%	73.28%	73.56%	73.80%	keras	nan	True	Sequential	16.000000	3811619.000000	nan	10.000000	nan	1.000000	4.000000	nan	nan	nan	nan	nan	1.000000	nan	10.000000	1.000000	str	Adam	15249712.000000	nan	ivster	45
122	73.90%	73.49%	73.36%	73.88%	keras	nan	True	Sequential	16.000000	41083.000000	nan	10.000000	nan	1.000000	4.000000	nan	nan	nan	nan	nan	1.000000	nan	10.000000	1.000000	str	Adam	167560.000000	nan	mymstella	144
123	73.90%	73.49%	73.36%	73.88%	unknown	nan	nan	unknown	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	mymstella	145
124	73.35%	71.62%	75.06%	73.34%	keras	nan	True	Sequential	11.000000	471443.000000	nan	6.000000	nan	1.000000	2.000000	nan	nan	nan	nan	1.000000	1.000000	nan	6.000000	1.000000	str	Adam	1887848.000000	nan	so2638	128
125	73.04%	73.09%	73.88%	73.04%	keras	nan	True	Sequential	16.000000	3811619.000000	nan	10.000000	nan	1.000000	4.000000	nan	nan	nan	nan	nan	1.000000	nan	10.000000	1.000000	str	Adam	15249704.000000	nan	cj2733	153
126	73.04%	73.09%	73.88%	73.04%	unknown	nan	nan	unknown	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	cj2733	154
127	72.35%	67.37%	79.06%	72.33%	keras	True	True	Functional	220.000000	22032611.000000	9.000000	94.000000	94.000000	2.000000	4.000000	1.000000	nan	1.000000	nan	nan	nan	15.000000	95.000000	1.000000	str	Adam	88180824.000000	nan	MengYang	121
128	72.50%	72.74%	73.37%	72.50%	keras	nan	True	Sequential	16.000000	3811619.000000	nan	10.000000	nan	1.000000	4.000000	nan	nan	nan	nan	nan	1.000000	nan	10.000000	1.000000	str	Adam	15249712.000000	nan	jer2240	35
129	73.20%	72.19%	73.04%	73.18%	keras	nan	True	Sequential	17.000000	508051.000000	nan	10.000000	nan	1.000000	5.000000	nan	nan	nan	nan	nan	1.000000	nan	10.000000	1.000000	str	Adam	2035432.000000	nan	eminilkay	206
130	72.27%	72.26%	73.53%	72.26%	unknown	nan	nan	unknown	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	so2638	89
131	72.42%	72.36%	72.31%	72.41%	unknown	nan	nan	unknown	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	newusertest	3
132	72.42%	72.36%	72.31%	72.41%	keras	nan	True	Sequential	16.000000	3811619.000000	nan	10.000000	nan	1.000000	4.000000	nan	nan	nan	nan	nan	1.000000	nan	10.000000	1.000000	str	Adam	15249712.000000	nan	newusertest	2
133	72.27%	72.26%	73.53%	72.26%	keras	nan	True	Sequential	10.000000	999715.000000	nan	6.000000	nan	1.000000	2.000000	nan	nan	nan	nan	nan	1.000000	nan	6.000000	1.000000	str	Adam	4000936.000000	nan	so2638	88
134	72.04%	70.24%	74.65%	72.02%	keras	nan	True	Sequential	16.000000	3811619.000000	nan	10.000000	nan	1.000000	4.000000	nan	nan	nan	nan	nan	1.000000	nan	10.000000	1.000000	str	Adam	15249712.000000	nan	sm_5271	39
135	72.19%	70.99%	73.62%	72.17%	keras	nan	True	Sequential	16.000000	3811619.000000	nan	10.000000	nan	1.000000	4.000000	nan	nan	nan	nan	nan	1.000000	nan	10.000000	1.000000	str	Adam	15249712.000000	nan	mikedparrott	1
136	70.57%	68.45%	76.11%	70.55%	unknown	nan	nan	unknown	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	amsay99	50
137	72.19%	72.00%	72.17%	72.18%	unknown	nan	nan	unknown	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	ran_liao	71
138	71.96%	71.98%	72.03%	71.95%	keras	nan	True	Sequential	5.000000	7086467.000000	nan	nan	nan	4.000000	nan	nan	nan	nan	nan	nan	1.000000	nan	3.000000	1.000000	str	Adam	28346968.000000	7.000000	lprockop	24
139	71.19%	69.87%	73.22%	71.17%	keras	nan	True	Sequential	16.000000	3811619.000000	nan	10.000000	nan	1.000000	4.000000	nan	nan	nan	nan	nan	1.000000	nan	10.000000	1.000000	str	Adam	15249712.000000	nan	ran_liao	67
140	71.19%	69.87%	73.22%	71.17%	keras	nan	True	Sequential	16.000000	3811619.000000	nan	10.000000	nan	1.000000	4.000000	nan	nan	nan	nan	nan	1.000000	nan	10.000000	1.000000	str	SGD	15249712.000000	nan	ran_liao	69
141	71.19%	71.02%	71.56%	71.17%	keras	nan	True	Sequential	16.000000	3811619.000000	nan	10.000000	nan	1.000000	4.000000	nan	nan	nan	nan	nan	1.000000	nan	10.000000	1.000000	str	Adam	15249704.000000	nan	nslerner	137
142	70.26%	67.79%	73.33%	70.24%	keras	True	True	Functional	22.000000	16779523.000000	nan	13.000000	nan	2.000000	5.000000	1.000000	nan	nan	nan	nan	1.000000	nan	14.000000	1.000000	str	SGD	67122464.000000	nan	vincent	73
143	70.10%	68.97%	72.08%	70.08%	keras	nan	True	Sequential	16.000000	3811619.000000	nan	10.000000	nan	1.000000	4.000000	nan	nan	nan	nan	nan	1.000000	nan	10.000000	1.000000	str	Adam	15249712.000000	nan	MengYang	66
144	69.09%	68.57%	71.88%	69.09%	unknown	nan	nan	unknown	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	mymstella	178
145	69.09%	68.57%	71.88%	69.09%	keras	True	True	Sequential	16.000000	41083.000000	nan	10.000000	nan	1.000000	4.000000	nan	nan	nan	nan	nan	1.000000	nan	10.000000	1.000000	str	Adam	167560.000000	nan	mymstella	177
146	69.56%	69.67%	70.38%	69.55%	keras	nan	True	Functional	128.000000	23593859.000000	nan	53.000000	53.000000	1.000000	1.000000	1.000000	16.000000	1.000000	2.000000	nan	nan	nan	49.000000	1.000000	str	Adam	94416744.000000	6.000000	bobbie8881	29
147	64.21%	54.58%	73.71%	64.19%	unknown	nan	nan	unknown	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	amsay99	113
148	68.32%	65.19%	70.46%	68.30%	keras	nan	True	Sequential	16.000000	3811619.000000	nan	10.000000	nan	1.000000	4.000000	nan	nan	nan	nan	nan	1.000000	nan	10.000000	1.000000	str	Adam	15249712.000000	nan	timnyt	38
149	67.93%	67.25%	70.55%	67.92%	keras	nan	True	Sequential	16.000000	3811619.000000	nan	10.000000	nan	1.000000	4.000000	nan	nan	nan	nan	nan	1.000000	nan	10.000000	1.000000	str	Adam	15249712.000000	nan	so2638	42
150	67.93%	67.25%	70.55%	67.92%	unknown	nan	nan	unknown	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	so2638	43
151	67.47%	67.52%	69.72%	67.46%	keras	nan	True	Sequential	16.000000	3811619.000000	nan	10.000000	nan	1.000000	4.000000	nan	nan	nan	nan	nan	1.000000	nan	10.000000	1.000000	str	Adam	15249704.000000	nan	MengYang	119
152	60.73%	52.33%	75.15%	60.71%	keras	nan	True	Sequential	16.000000	3811619.000000	nan	10.000000	nan	1.000000	4.000000	nan	nan	nan	nan	nan	1.000000	nan	10.000000	1.000000	str	Adam	15249704.000000	nan	cj2733	155
153	66.38%	64.78%	70.93%	66.37%	keras	nan	True	Sequential	16.000000	3811619.000000	nan	10.000000	nan	1.000000	4.000000	nan	nan	nan	nan	nan	1.000000	nan	10.000000	1.000000	str	Adam	15249712.000000	nan	miles_degrazia	48
154	66.15%	57.09%	66.15%	66.13%	keras	True	True	Functional	25.000000	21867987.000000	nan	16.000000	nan	2.000000	5.000000	1.000000	nan	nan	nan	nan	1.000000	nan	17.000000	1.000000	function	Adam	87477176.000000	7.000000	adrianwang	105
155	62.90%	53.50%	67.59%	62.87%	keras	nan	True	Sequential	10.000000	999715.000000	nan	6.000000	nan	1.000000	2.000000	nan	nan	nan	nan	nan	1.000000	nan	6.000000	1.000000	str	Adam	4000936.000000	nan	lprockop	44
156	61.81%	52.67%	69.63%	61.79%	keras	nan	True	Sequential	16.000000	3811619.000000	nan	10.000000	nan	1.000000	4.000000	nan	nan	nan	nan	nan	1.000000	nan	10.000000	1.000000	str	SGD	15249712.000000	nan	vincent	70
157	61.50%	62.11%	64.36%	61.50%	keras	True	True	Functional	128.000000	23593859.000000	nan	53.000000	53.000000	1.000000	1.000000	1.000000	16.000000	1.000000	2.000000	nan	nan	nan	49.000000	1.000000	str	Adam	94416744.000000	nan	hal2148	15
158	64.21%	54.43%	56.01%	64.19%	keras	True	True	Functional	222.000000	23016483.000000	9.000000	94.000000	94.000000	4.000000	4.000000	1.000000	nan	1.000000	nan	nan	nan	15.000000	97.000000	1.000000	str	Adam	92116792.000000	nan	MengYang	135
159	57.71%	57.63%	60.08%	57.71%	unknown	nan	nan	unknown	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	amsay99	108
160	61.19%	50.39%	49.99%	61.17%	keras	True	True	Sequential	9.000000	8023619.000000	nan	3.000000	nan	2.000000	3.000000	nan	nan	nan	nan	nan	1.000000	nan	4.000000	1.000000	str	Adam	32095976.000000	nan	mymstella	182
161	54.84%	48.42%	56.16%	54.81%	keras	nan	True	Functional	22.000000	16779523.000000	nan	13.000000	nan	2.000000	5.000000	1.000000	nan	nan	nan	nan	1.000000	nan	14.000000	1.000000	str	Adam	67122440.000000	nan	mymstella	149
162	54.84%	48.42%	56.16%	54.81%	unknown	nan	nan	unknown	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	mymstella	150
163	58.02%	46.52%	38.86%	57.99%	keras	nan	True	Sequential	13.000000	471635.000000	nan	6.000000	2.000000	1.000000	2.000000	nan	nan	nan	nan	1.000000	1.000000	nan	6.000000	1.000000	str	Adam	1889576.000000	nan	so2638	130
164	52.13%	45.95%	63.62%	52.13%	keras	nan	True	Sequential	16.000000	3811619.000000	nan	10.000000	nan	1.000000	4.000000	nan	nan	nan	nan	nan	1.000000	nan	10.000000	1.000000	str	Adam	15249704.000000	nan	mymstella	142
165	52.13%	45.95%	63.62%	52.13%	unknown	nan	nan	unknown	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	mymstella	143
166	52.36%	47.99%	47.76%	52.33%	unknown	nan	nan	unknown	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	MengYang	133
167	47.33%	38.32%	65.22%	47.33%	keras	nan	True	Sequential	9.000000	8023619.000000	nan	3.000000	nan	2.000000	3.000000	nan	nan	nan	nan	nan	1.000000	nan	4.000000	1.000000	str	Adam	32095976.000000	nan	mymstella	162
168	33.77%	33.78%	33.79%	33.77%	keras	nan	True	Sequential	14.000000	1189155.000000	nan	8.000000	nan	1.000000	4.000000	nan	nan	nan	nan	nan	1.000000	nan	8.000000	1.000000	str	Adam	4759312.000000	nan	emileesmaili	4
169	33.77%	33.78%	33.79%	33.77%	unknown	nan	nan	unknown	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	emileesmaili	5
170	37.88%	26.60%	28.35%	37.83%	keras	nan	True	Sequential	12.000000	471635.000000	nan	6.000000	2.000000	1.000000	2.000000	nan	nan	nan	nan	nan	1.000000	nan	6.000000	1.000000	str	Adam	1889576.000000	nan	so2638	129
171	36.48%	27.44%	24.66%	36.45%	keras	True	True	Sequential	23.000000	19466819.000000	nan	13.000000	nan	3.000000	5.000000	1.000000	nan	nan	nan	nan	1.000000	nan	15.000000	1.000000	str	Adam	77871864.000000	nan	mymstella	175
172	36.48%	27.44%	24.66%	36.45%	unknown	nan	nan	unknown	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	mymstella	176
173	33.00%	32.99%	32.99%	33.00%	keras	nan	True	Sequential	16.000000	3811619.000000	nan	10.000000	nan	1.000000	4.000000	nan	nan	nan	nan	nan	1.000000	nan	10.000000	1.000000	str	Adam	15249712.000000	nan	emileesmaili	6
174	33.38%	16.69%	11.13%	33.33%	unknown	nan	nan	unknown	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	so2638	95
175	33.38%	16.69%	11.13%	33.33%	keras	nan	True	Functional	22.000000	16779523.000000	nan	13.000000	nan	2.000000	5.000000	1.000000	nan	nan	nan	nan	1.000000	nan	14.000000	1.000000	str	Adam	67122440.000000	nan	mymstella	151
176	33.38%	16.69%	11.13%	33.33%	keras	nan	True	Sequential	16.000000	3811619.000000	nan	10.000000	nan	1.000000	4.000000	nan	nan	nan	nan	nan	1.000000	nan	10.000000	1.000000	str	Adam	15249712.000000	7.000000	lprockop	25
177	33.38%	16.69%	11.13%	33.33%	keras	nan	True	Sequential	22.000000	8849187.000000	nan	14.000000	nan	1.000000	6.000000	nan	nan	nan	nan	nan	1.000000	nan	14.000000	1.000000	str	Adam	35401152.000000	nan	so2638	51
178	33.38%	16.69%	11.13%	33.33%	unknown	nan	nan	unknown	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	so2638	54
179	33.38%	16.69%	11.13%	33.33%	unknown	nan	nan	unknown	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	mymstella	152
180	33.38%	16.69%	11.13%	33.33%	keras	nan	True	Sequential	10.000000	226595.000000	nan	nan	nan	7.000000	2.000000	nan	nan	nan	nan	nan	1.000000	nan	6.000000	1.000000	str	Adam	908264.000000	nan	so2638	94
181	33.38%	16.69%	11.13%	33.33%	keras	nan	True	Sequential	26.000000	3821603.000000	nan	10.000000	10.000000	1.000000	4.000000	nan	nan	nan	nan	nan	1.000000	nan	10.000000	1.000000	str	Adam	15294504.000000	nan	timnyt	46
182	33.38%	16.69%	11.13%	33.33%	keras	nan	True	Sequential	26.000000	3821603.000000	nan	10.000000	10.000000	1.000000	4.000000	nan	nan	nan	nan	nan	1.000000	nan	10.000000	1.000000	str	Adam	15294504.000000	nan	timnyt	56
183	33.31%	16.66%	11.10%	33.33%	keras	nan	True	Sequential	16.000000	3811619.000000	nan	10.000000	nan	1.000000	4.000000	nan	nan	nan	nan	nan	1.000000	nan	10.000000	1.000000	str	Adam	15249712.000000	nan	eminilkay	47
184	33.31%	16.66%	11.10%	33.33%	keras	nan	True	Sequential	16.000000	3811619.000000	nan	10.000000	nan	1.000000	4.000000	nan	nan	nan	nan	nan	1.000000	nan	10.000000	1.000000	str	Adam	15249712.000000	6.000000	bobbie8881	30
185	26.49%	21.56%	21.80%	26.47%	keras	nan	True	Functional	25.000000	22089219.000000	nan	16.000000	nan	2.000000	5.000000	1.000000	nan	nan	nan	nan	1.000000	nan	17.000000	1.000000	str	Adam	88362152.000000	nan	Chen	33
186	33.31%	16.66%	11.10%	33.33%	keras	nan	True	Functional	22.000000	16779523.000000	nan	13.000000	nan	2.000000	5.000000	1.000000	nan	nan	nan	nan	1.000000	nan	14.000000	1.000000	str	Adam	67122464.000000	7.000000	lprockop	32
187	33.31%	16.66%	11.10%	33.33%	keras	nan	True	Functional	128.000000	23593859.000000	nan	53.000000	53.000000	1.000000	1.000000	1.000000	16.000000	1.000000	2.000000	nan	nan	nan	49.000000	1.000000	str	SGD	94416744.000000	nan	Chen	31
188	33.31%	16.66%	11.10%	33.33%	keras	True	True	Functional	22.000000	16779523.000000	nan	13.000000	nan	2.000000	5.000000	1.000000	nan	nan	nan	nan	1.000000	nan	14.000000	1.000000	str	SGD	67122440.000000	nan	nslerner	141
189	33.31%	16.66%	11.10%	33.33%	keras	nan	True	Sequential	19.000000	3599267.000000	nan	10.000000	3.000000	1.000000	4.000000	nan	nan	nan	nan	nan	1.000000	nan	10.000000	1.000000	str	Adam	14401728.000000	nan	jer2240	59
190	33.31%	16.66%	11.10%	33.33%	unknown	nan	nan	unknown	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	mymstella	173
191	33.31%	16.66%	11.10%	33.33%	unknown	nan	nan	unknown	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	eminilkay	52
192	33.31%	16.66%	11.10%	33.33%	keras	nan	True	Functional	15.000000	2285955.000000	nan	7.000000	nan	2.000000	1.000000	1.000000	2.000000	1.000000	nan	1.000000	nan	nan	8.000000	nan	CategoricalCrossentropy	Adam	9146472.000000	nan	sdp2158	159
193	33.31%	16.66%	11.10%	33.33%	unknown	nan	nan	unknown	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	so2638	93
194	33.31%	16.66%	11.10%	33.33%	keras	nan	True	Sequential	10.000000	999715.000000	nan	6.000000	nan	1.000000	2.000000	nan	nan	nan	nan	nan	1.000000	nan	6.000000	1.000000	str	Adam	4000936.000000	nan	so2638	92
195	33.31%	16.66%	11.10%	33.33%	keras	nan	True	Functional	22.000000	16779523.000000	nan	13.000000	nan	2.000000	5.000000	1.000000	nan	nan	nan	nan	1.000000	nan	14.000000	1.000000	str	Adam	67122440.000000	nan	mymstella	163
196	33.31%	16.66%	11.10%	33.33%	unknown	nan	nan	unknown	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	mymstella	164
197	33.31%	16.66%	11.10%	33.33%	keras	nan	True	Functional	22.000000	16779523.000000	nan	13.000000	nan	2.000000	5.000000	1.000000	nan	nan	nan	nan	1.000000	nan	14.000000	1.000000	str	Adam	67122440.000000	nan	mymstella	165
198	33.31%	16.66%	11.10%	33.33%	unknown	nan	nan	unknown	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	mymstella	166
199	33.31%	16.66%	11.10%	33.33%	keras	nan	True	Sequential	21.000000	3816611.000000	nan	10.000000	5.000000	1.000000	4.000000	nan	nan	nan	nan	nan	1.000000	nan	10.000000	1.000000	str	Adam	15272088.000000	nan	Rochuz	49
200	33.31%	16.66%	11.10%	33.33%	keras	nan	True	Sequential	6.000000	7119683.000000	nan	nan	nan	5.000000	nan	nan	nan	nan	nan	nan	1.000000	nan	4.000000	1.000000	str	SGD	28480136.000000	nan	vincent	81
201	33.31%	16.66%	11.10%	33.33%	unknown	nan	nan	unknown	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	mymstella	171
202	33.31%	16.66%	11.10%	33.33%	keras	True	True	Functional	22.000000	16779523.000000	nan	13.000000	nan	2.000000	5.000000	1.000000	nan	nan	nan	nan	1.000000	nan	14.000000	1.000000	str	Adam	67122440.000000	nan	mymstella	172
203	33.31%	16.66%	11.10%	33.33%	keras	nan	True	Sequential	9.000000	18898977.000000	nan	3.000000	nan	2.000000	3.000000	nan	nan	nan	nan	nan	1.000000	nan	4.000000	nan	str	Adam	75597408.000000	7.000000	lprockop	116
204	33.31%	16.66%	11.10%	33.33%	keras	nan	True	Sequential	10.000000	1064227.000000	nan	6.000000	nan	1.000000	2.000000	nan	nan	nan	nan	nan	1.000000	nan	7.000000	nan	function	Adam	4258984.000000	7.000000	adrianwang	99
205	33.31%	16.66%	11.10%	33.33%	unknown	nan	nan	unknown	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	Rochuz	53
206	33.31%	16.66%	11.10%	33.33%	keras	True	True	Functional	23.000000	19466819.000000	nan	13.000000	nan	3.000000	5.000000	1.000000	nan	nan	nan	nan	1.000000	nan	15.000000	1.000000	str	Adam	77871864.000000	nan	mymstella	170
207	18.13%	12.01%	9.03%	18.14%	keras	nan	True	Sequential	10.000000	3544611.000000	nan	nan	2.000000	7.000000	nan	nan	nan	nan	nan	nan	1.000000	nan	6.000000	1.000000	str	Adam	14181296.000000	nan	so2638	96
208	nan%	nan%	nan%	nan%	keras	True	True	Functional	222.000000	23016483.000000	9.000000	94.000000	94.000000	4.000000	4.000000	1.000000	nan	1.000000	nan	nan	nan	15.000000	97.000000	1.000000	str	Adam	92116792.000000	nan	MengYang	140
209	nan%	nan%	nan%	nan%	keras	True	True	Functional	222.000000	23016483.000000	9.000000	94.000000	94.000000	4.000000	4.000000	1.000000	nan	1.000000	nan	nan	nan	15.000000	97.000000	1.000000	str	Adam	92116792.000000	nan	MengYang	148

data = experiment.get_leaderboard()
experiment.stylize_leaderboard(data)

	accuracy	f1_score	precision	recall	ml_framework	transfer_learning	deep_learning	model_type	depth	num_params	averagepooling2d_layers	conv2d_layers	batchnormalization_layers	dense_layers	maxpooling2d_layers	inputlayer_layers	add_layers	globalaveragepooling2d_layers	zeropadding2d_layers	dropout_layers	flatten_layers	concatenate_layers	relu_act	softmax_act	loss	optimizer	memory_size	team	username	version
0	96.36%	96.37%	96.38%	96.36%	unknown	nan	nan	unknown	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	francesyang	23
1	96.28%	96.27%	96.30%	96.28%	unknown	nan	nan	unknown	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	francesyang	22
2	95.82%	95.82%	95.88%	95.82%	unknown	nan	nan	unknown	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	francesyang	20
3	95.58%	95.59%	95.60%	95.58%	unknown	nan	nan	unknown	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	francesyang	9
4	94.42%	94.42%	94.44%	94.42%	keras	nan	True	Sequential	26.000000	117651.000000	nan	10.000000	9.000000	1.000000	5.000000	nan	nan	nan	nan	nan	1.000000	nan	10.000000	1.000000	str	Adam	478136.000000	nan	oliverhegi	78
5	94.04%	94.03%	94.03%	94.03%	keras	nan	True	Sequential	25.000000	37859.000000	nan	10.000000	9.000000	1.000000	4.000000	nan	nan	nan	nan	nan	1.000000	nan	10.000000	1.000000	str	Adam	159016.000000	nan	sofiazaidman	186
6	93.73%	93.71%	93.71%	93.72%	keras	True	True	Functional	219.000000	21808931.000000	9.000000	94.000000	94.000000	1.000000	4.000000	1.000000	nan	1.000000	nan	nan	nan	15.000000	94.000000	1.000000	str	Adam	87285904.000000	nan	hal2148	18
7	93.65%	93.66%	93.79%	93.65%	keras	nan	True	Sequential	25.000000	37859.000000	nan	10.000000	9.000000	1.000000	4.000000	nan	nan	nan	nan	nan	1.000000	nan	10.000000	1.000000	str	Adam	159016.000000	nan	sofiazaidman	185
8	93.65%	93.66%	93.79%	93.65%	keras	nan	True	Sequential	25.000000	37859.000000	nan	10.000000	9.000000	1.000000	4.000000	nan	nan	nan	nan	nan	1.000000	nan	10.000000	1.000000	str	Adam	159016.000000	nan	sofiazaidman	184
9	92.87%	92.86%	92.86%	92.87%	keras	nan	True	Sequential	25.000000	58147.000000	nan	10.000000	9.000000	1.000000	4.000000	nan	nan	nan	nan	nan	1.000000	nan	10.000000	1.000000	str	Adam	240120.000000	nan	sofiazaidman	82
10	92.72%	92.68%	92.72%	92.71%	keras	nan	True	Sequential	19.000000	3686819.000000	nan	12.000000	nan	1.000000	5.000000	nan	nan	nan	nan	nan	1.000000	nan	12.000000	1.000000	str	Adam	14751136.000000	nan	Chen	87
11	92.49%	92.46%	92.50%	92.48%	keras	nan	True	Sequential	30.000000	58339.000000	nan	12.000000	11.000000	1.000000	5.000000	nan	nan	nan	nan	nan	1.000000	nan	12.000000	1.000000	str	Adam	242472.000000	nan	sofiazaidman	100
12	92.18%	92.11%	92.44%	92.17%	keras	True	True	Functional	25.000000	21867987.000000	nan	16.000000	nan	2.000000	5.000000	1.000000	nan	nan	nan	nan	1.000000	nan	17.000000	1.000000	function	Adam	87477176.000000	7.000000	adrianwang	115
13	91.71%	91.66%	91.68%	91.71%	keras	nan	True	Sequential	16.000000	3811619.000000	nan	10.000000	nan	1.000000	4.000000	nan	nan	nan	nan	nan	1.000000	nan	10.000000	1.000000	str	Adam	15249712.000000	nan	hal2148	14
14	91.48%	91.51%	91.65%	91.48%	keras	nan	True	Sequential	24.000000	3820963.000000	nan	10.000000	8.000000	1.000000	4.000000	nan	nan	nan	nan	nan	1.000000	nan	10.000000	1.000000	str	Adam	15290936.000000	nan	sofiazaidman	62
15	91.32%	91.32%	91.36%	91.32%	keras	nan	True	Sequential	8.000000	1794095.000000	nan	4.000000	1.000000	1.000000	1.000000	nan	nan	nan	nan	nan	1.000000	nan	4.000000	1.000000	str	Adam	7178376.000000	nan	jer2240	160
16	91.32%	91.32%	91.36%	91.32%	keras	nan	True	Sequential	16.000000	7179555.000000	nan	10.000000	nan	1.000000	4.000000	nan	nan	nan	nan	nan	1.000000	nan	10.000000	1.000000	str	Adam	28721448.000000	nan	jer2240	158
17	91.09%	91.10%	91.16%	91.09%	keras	nan	True	Sequential	16.000000	3811619.000000	nan	10.000000	nan	1.000000	4.000000	nan	nan	nan	nan	nan	1.000000	nan	10.000000	1.000000	str	Adam	15249712.000000	6.000000	bobbie8881	10
18	91.01%	91.07%	91.45%	91.02%	keras	nan	True	Sequential	16.000000	3596579.000000	nan	10.000000	nan	1.000000	4.000000	nan	nan	nan	nan	nan	1.000000	nan	10.000000	1.000000	str	Adam	14389552.000000	nan	jer2240	63
19	91.09%	91.03%	91.12%	91.09%	keras	nan	True	Sequential	19.000000	3877923.000000	nan	12.000000	nan	1.000000	5.000000	nan	nan	nan	nan	nan	1.000000	nan	12.000000	1.000000	str	Adam	15515528.000000	nan	sdp2158	157
20	90.86%	90.90%	90.98%	90.86%	keras	True	True	Functional	219.000000	21808931.000000	9.000000	94.000000	94.000000	1.000000	4.000000	1.000000	nan	1.000000	nan	nan	nan	15.000000	94.000000	1.000000	str	Adam	87285904.000000	nan	hal2148	19
21	90.55%	90.57%	91.00%	90.55%	keras	nan	True	Sequential	17.000000	115795.000000	nan	10.000000	nan	1.000000	5.000000	nan	nan	nan	nan	nan	1.000000	nan	10.000000	1.000000	str	Adam	466416.000000	nan	oliverhegi	75
22	90.01%	90.15%	91.61%	90.01%	keras	True	True	Functional	25.000000	21867987.000000	nan	16.000000	nan	2.000000	5.000000	1.000000	nan	nan	nan	nan	1.000000	nan	17.000000	1.000000	function	Adam	87477176.000000	7.000000	adrianwang	109
23	90.32%	90.26%	90.28%	90.31%	keras	nan	True	Sequential	16.000000	3811619.000000	nan	10.000000	nan	1.000000	4.000000	nan	nan	nan	nan	nan	1.000000	nan	10.000000	1.000000	str	Adam	15249712.000000	nan	bobbie8881	26
24	90.32%	90.26%	90.28%	90.31%	keras	nan	True	Sequential	16.000000	3811619.000000	nan	10.000000	nan	1.000000	4.000000	nan	nan	nan	nan	nan	1.000000	nan	10.000000	1.000000	str	Adam	15249712.000000	6.000000	bobbie8881	27
25	89.39%	89.40%	90.24%	89.39%	keras	nan	True	Functional	44.000000	459971.000000	nan	16.000000	16.000000	1.000000	4.000000	1.000000	nan	1.000000	nan	nan	nan	5.000000	16.000000	1.000000	str	Adam	1852568.000000	nan	ran_liao	74
26	89.39%	89.26%	89.68%	89.38%	keras	nan	True	Functional	25.000000	22089219.000000	nan	16.000000	nan	2.000000	5.000000	1.000000	nan	nan	nan	nan	1.000000	nan	17.000000	1.000000	str	Adam	88362152.000000	nan	Chen	76
27	89.16%	89.18%	89.79%	89.15%	keras	nan	True	Sequential	16.000000	56995.000000	nan	10.000000	nan	1.000000	4.000000	nan	nan	nan	nan	nan	1.000000	nan	10.000000	1.000000	str	Adam	231216.000000	nan	sofiazaidman	11
28	89.08%	89.19%	89.69%	89.08%	keras	nan	True	Sequential	16.000000	3811619.000000	nan	10.000000	nan	1.000000	4.000000	nan	nan	nan	nan	nan	1.000000	nan	10.000000	1.000000	str	Adam	15249712.000000	nan	francesyang	7
29	89.08%	89.15%	89.35%	89.08%	keras	nan	True	Sequential	12.000000	1793199.000000	3.000000	6.000000	1.000000	1.000000	nan	nan	nan	nan	nan	nan	1.000000	nan	6.000000	1.000000	str	Adam	7175400.000000	nan	jer2240	161
30	89.08%	89.15%	89.35%	89.08%	keras	nan	True	Sequential	12.000000	1793199.000000	3.000000	6.000000	1.000000	1.000000	nan	nan	nan	nan	nan	nan	1.000000	nan	6.000000	1.000000	str	Adam	7175400.000000	nan	jer2240	169
31	89.00%	88.96%	88.94%	89.00%	keras	nan	True	Sequential	31.000000	18507011.000000	nan	23.000000	nan	1.000000	5.000000	1.000000	nan	nan	nan	nan	1.000000	nan	23.000000	1.000000	str	Adam	74035032.000000	nan	cj2733	199
32	89.00%	88.96%	88.94%	89.00%	keras	nan	True	Sequential	16.000000	30417955.000000	nan	10.000000	nan	1.000000	4.000000	nan	nan	nan	nan	nan	1.000000	nan	10.000000	1.000000	str	Adam	121675048.000000	nan	cj2733	198
33	89.00%	88.96%	88.94%	89.00%	keras	nan	True	Sequential	4.000000	3540899.000000	nan	2.000000	nan	1.000000	nan	nan	nan	nan	nan	nan	1.000000	nan	2.000000	1.000000	str	Adam	14164520.000000	nan	cj2733	200
34	88.69%	88.46%	88.93%	88.68%	keras	True	True	Functional	220.000000	25473251.000000	9.000000	94.000000	94.000000	2.000000	4.000000	1.000000	nan	nan	nan	nan	1.000000	15.000000	95.000000	1.000000	str	Adam	101943424.000000	nan	francesyang	8
35	88.61%	88.61%	88.79%	88.61%	keras	nan	True	Sequential	16.000000	3811619.000000	nan	10.000000	nan	1.000000	4.000000	nan	nan	nan	nan	nan	1.000000	nan	10.000000	1.000000	str	Adam	15249704.000000	7.000000	lprockop	111
36	88.30%	88.36%	88.78%	88.30%	keras	nan	True	Sequential	16.000000	3811619.000000	nan	10.000000	nan	1.000000	4.000000	nan	nan	nan	nan	nan	1.000000	nan	10.000000	1.000000	str	Adam	15249712.000000	nan	mcmurrym	34
37	88.07%	88.05%	88.60%	88.07%	keras	nan	True	Sequential	16.000000	29251.000000	nan	10.000000	nan	1.000000	4.000000	nan	nan	nan	nan	nan	1.000000	nan	10.000000	1.000000	str	Adam	120240.000000	nan	sofiazaidman	21
38	87.99%	88.02%	88.09%	87.99%	keras	nan	True	Functional	14.000000	1852707.000000	3.000000	8.000000	nan	1.000000	nan	1.000000	nan	nan	nan	nan	1.000000	nan	8.000000	1.000000	str	Adam	7413512.000000	nan	jer2240	183
39	87.76%	87.69%	88.23%	87.76%	keras	nan	True	Sequential	4.000000	3540899.000000	nan	2.000000	nan	1.000000	nan	nan	nan	nan	nan	nan	1.000000	nan	2.000000	1.000000	str	Adam	14164520.000000	nan	cj2733	197
40	87.76%	87.69%	88.23%	87.76%	keras	nan	True	Sequential	31.000000	18507011.000000	nan	23.000000	nan	1.000000	5.000000	1.000000	nan	nan	nan	nan	1.000000	nan	23.000000	1.000000	str	Adam	74035032.000000	nan	cj2733	196
41	87.76%	87.69%	88.23%	87.76%	keras	nan	True	Sequential	16.000000	30417955.000000	nan	10.000000	nan	1.000000	4.000000	nan	nan	nan	nan	nan	1.000000	nan	10.000000	1.000000	str	Adam	121675048.000000	nan	cj2733	195
42	87.68%	87.60%	87.63%	87.68%	keras	True	True	Functional	219.000000	21808931.000000	9.000000	94.000000	94.000000	1.000000	4.000000	1.000000	nan	1.000000	nan	nan	nan	15.000000	94.000000	1.000000	str	Adam	87285904.000000	nan	hal2148	17
43	86.99%	87.14%	87.73%	86.99%	keras	nan	True	Functional	11.000000	999715.000000	2.000000	6.000000	nan	1.000000	nan	1.000000	nan	nan	nan	nan	1.000000	nan	6.000000	1.000000	str	Adam	4000936.000000	nan	jer2240	174
44	86.52%	86.49%	88.46%	86.52%	keras	nan	True	Sequential	26.000000	3821603.000000	nan	10.000000	10.000000	1.000000	4.000000	nan	nan	nan	nan	nan	1.000000	nan	10.000000	1.000000	str	Adam	15294504.000000	nan	tinaz0407	64
45	86.29%	85.96%	86.92%	86.28%	keras	nan	True	Functional	25.000000	22089219.000000	nan	16.000000	nan	2.000000	5.000000	1.000000	nan	nan	nan	nan	1.000000	nan	17.000000	1.000000	str	Adam	88362104.000000	nan	MengYang	120
46	85.75%	85.58%	85.74%	85.74%	keras	nan	True	Sequential	6.000000	7090627.000000	nan	nan	nan	5.000000	nan	nan	nan	nan	nan	nan	1.000000	nan	4.000000	1.000000	str	SGD	28363912.000000	nan	hal2148	13
47	85.36%	84.78%	87.45%	85.35%	keras	nan	True	Sequential	19.000000	4596515.000000	nan	12.000000	nan	1.000000	5.000000	nan	nan	nan	nan	nan	1.000000	nan	12.000000	1.000000	nan	NoneType	18389896.000000	nan	sdp2158	156
48	85.21%	84.95%	85.93%	85.20%	keras	True	True	Functional	219.000000	21808931.000000	9.000000	94.000000	94.000000	1.000000	4.000000	1.000000	nan	1.000000	nan	nan	nan	15.000000	94.000000	1.000000	str	Adam	87285904.000000	nan	sofiazaidman	12
49	83.97%	83.48%	84.67%	83.96%	unknown	nan	nan	unknown	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	halfbaked_em	85
50	83.97%	83.48%	84.67%	83.96%	unknown	nan	nan	unknown	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	halfbaked_em	86
51	83.97%	83.48%	84.67%	83.96%	unknown	nan	nan	unknown	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	halfbaked_em	84
52	83.97%	83.48%	84.67%	83.96%	unknown	nan	nan	unknown	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	halfbaked_em	83
53	83.19%	83.15%	83.62%	83.18%	keras	True	True	Functional	21.000000	14716227.000000	nan	13.000000	nan	1.000000	5.000000	1.000000	nan	1.000000	nan	nan	nan	nan	13.000000	1.000000	str	Adam	58869040.000000	nan	hal2148	16
54	82.65%	82.85%	86.12%	82.65%	keras	nan	True	Sequential	23.000000	19466819.000000	nan	13.000000	nan	3.000000	5.000000	1.000000	nan	nan	nan	nan	1.000000	nan	15.000000	1.000000	str	Adam	77871864.000000	nan	mymstella	167
55	82.65%	82.85%	86.12%	82.65%	unknown	nan	nan	unknown	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	mymstella	168
56	83.04%	82.95%	83.06%	83.03%	keras	True	True	Functional	222.000000	23016483.000000	9.000000	94.000000	94.000000	4.000000	4.000000	1.000000	nan	1.000000	nan	nan	nan	15.000000	97.000000	1.000000	str	Adam	92116792.000000	nan	MengYang	134
57	82.49%	82.39%	82.35%	82.49%	unknown	nan	nan	unknown	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	mymstella	180
58	82.49%	82.39%	82.35%	82.49%	keras	True	True	Sequential	5.000000	36967811.000000	nan	1.000000	nan	2.000000	1.000000	nan	nan	nan	nan	nan	1.000000	nan	2.000000	1.000000	str	Adam	147872136.000000	nan	mymstella	181
59	82.49%	82.39%	82.35%	82.49%	keras	True	True	Sequential	5.000000	36967811.000000	nan	1.000000	nan	2.000000	1.000000	nan	nan	nan	nan	nan	1.000000	nan	2.000000	1.000000	str	Adam	147872136.000000	nan	mymstella	179
60	82.34%	82.14%	82.07%	82.33%	keras	nan	True	Sequential	19.000000	6268195.000000	nan	12.000000	nan	1.000000	5.000000	nan	nan	nan	nan	nan	1.000000	nan	12.000000	1.000000	nan	NoneType	25076616.000000	nan	sdp2158	136
61	81.80%	81.74%	82.37%	81.79%	keras	True	True	Functional	222.000000	23016483.000000	9.000000	94.000000	94.000000	4.000000	4.000000	1.000000	nan	1.000000	nan	nan	nan	15.000000	97.000000	1.000000	str	Adam	92116792.000000	nan	MengYang	132
62	81.49%	81.61%	83.28%	81.49%	unknown	nan	nan	unknown	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	halfbaked_em	80
63	81.87%	81.56%	81.94%	81.86%	keras	nan	True	Sequential	16.000000	3688739.000000	nan	10.000000	nan	1.000000	4.000000	nan	nan	nan	nan	nan	1.000000	nan	10.000000	1.000000	str	Adam	14758192.000000	nan	jer2240	37
64	81.49%	80.63%	82.91%	81.48%	keras	nan	True	Functional	25.000000	22089219.000000	nan	16.000000	nan	2.000000	5.000000	1.000000	nan	nan	nan	nan	1.000000	nan	17.000000	1.000000	str	Adam	88362152.000000	6.000000	bobbie8881	28
65	81.18%	79.73%	84.34%	81.16%	keras	nan	True	Functional	27.000000	29626691.000000	nan	16.000000	nan	4.000000	5.000000	1.000000	nan	nan	nan	nan	1.000000	nan	19.000000	1.000000	str	Adam	118512472.000000	nan	MengYang	131
66	81.56%	81.29%	81.58%	81.56%	keras	nan	True	Functional	27.000000	22125635.000000	nan	16.000000	nan	4.000000	5.000000	1.000000	nan	1.000000	nan	nan	nan	nan	19.000000	1.000000	str	SGD	88508248.000000	nan	sdp2158	187
67	81.56%	81.29%	81.58%	81.56%	keras	True	True	Functional	27.000000	22125635.000000	nan	16.000000	nan	4.000000	5.000000	1.000000	nan	1.000000	nan	nan	nan	nan	19.000000	1.000000	str	SGD	88508248.000000	nan	sdp2158	188
68	80.87%	80.35%	81.18%	80.86%	unknown	nan	nan	unknown	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	halfbaked_em	79
69	80.25%	79.80%	80.09%	80.24%	keras	True	True	Functional	28.000000	22256195.000000	nan	16.000000	nan	5.000000	5.000000	1.000000	nan	1.000000	nan	nan	nan	nan	20.000000	1.000000	str	SGD	89030824.000000	nan	sdp2158	207
70	80.09%	79.39%	80.59%	80.08%	unknown	nan	nan	unknown	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	halfbaked_em	77
71	80.09%	79.39%	80.59%	80.08%	unknown	nan	nan	unknown	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	halfbaked_em	68
72	80.09%	79.39%	80.59%	80.08%	unknown	nan	nan	unknown	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	halfbaked_em	72
73	80.09%	79.39%	80.59%	80.08%	unknown	nan	nan	unknown	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	halfbaked_em	57
74	79.40%	79.57%	80.50%	79.39%	keras	True	True	Functional	219.000000	21808931.000000	9.000000	94.000000	94.000000	1.000000	4.000000	1.000000	nan	1.000000	nan	nan	nan	15.000000	94.000000	1.000000	function	Adam	87285864.000000	7.000000	adrianwang	107
75	79.40%	79.28%	79.24%	79.39%	unknown	nan	nan	unknown	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	amsay99	138
76	79.32%	79.18%	79.53%	79.31%	keras	nan	True	Sequential	16.000000	160163.000000	nan	10.000000	nan	1.000000	4.000000	nan	nan	nan	nan	nan	1.000000	nan	10.000000	1.000000	str	Adam	643880.000000	9.000000	realdfy	104
77	79.32%	79.18%	79.53%	79.31%	keras	nan	True	Sequential	16.000000	160163.000000	nan	10.000000	nan	1.000000	4.000000	nan	nan	nan	nan	nan	1.000000	nan	10.000000	1.000000	str	Adam	643880.000000	nan	realdfy	103
78	79.32%	79.18%	79.53%	79.31%	keras	True	True	Sequential	16.000000	190883.000000	nan	10.000000	nan	1.000000	4.000000	nan	nan	nan	nan	nan	1.000000	nan	10.000000	1.000000	str	Adam	766760.000000	9.000000	realdfy	110
79	79.32%	79.18%	79.53%	79.31%	keras	nan	True	Sequential	16.000000	1375683.000000	nan	10.000000	nan	1.000000	4.000000	nan	nan	nan	nan	nan	1.000000	nan	10.000000	1.000000	str	Adam	5505960.000000	9.000000	realdfy	112
80	79.32%	79.18%	79.53%	79.31%	keras	nan	True	Sequential	16.000000	190883.000000	nan	10.000000	nan	1.000000	4.000000	nan	nan	nan	nan	nan	1.000000	nan	10.000000	1.000000	str	Adam	766760.000000	9.000000	realdfy	98
81	79.32%	79.18%	79.53%	79.31%	keras	nan	True	Sequential	11.000000	4503427.000000	nan	3.000000	nan	2.000000	3.000000	nan	nan	nan	nan	2.000000	1.000000	nan	4.000000	nan	str	Adam	18015208.000000	9.000000	realdfy	118
82	79.32%	79.18%	79.53%	79.31%	keras	nan	True	Sequential	11.000000	10642467.000000	nan	3.000000	nan	2.000000	3.000000	nan	nan	nan	nan	2.000000	1.000000	nan	4.000000	nan	str	Adam	42571368.000000	9.000000	realdfy	117
83	79.32%	79.18%	79.53%	79.31%	unknown	nan	nan	unknown	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	realdfy	97
84	78.78%	78.91%	79.15%	78.77%	keras	nan	True	Sequential	10.000000	999715.000000	nan	6.000000	nan	1.000000	2.000000	nan	nan	nan	nan	nan	1.000000	nan	6.000000	1.000000	str	Adam	4000936.000000	nan	lprockop	41
85	78.70%	78.22%	80.11%	78.69%	keras	nan	True	Sequential	5.000000	7086467.000000	nan	nan	nan	4.000000	nan	nan	nan	nan	nan	nan	1.000000	nan	3.000000	1.000000	str	Adam	28346968.000000	7.000000	lprockop	102
86	78.85%	78.19%	79.08%	78.84%	unknown	nan	nan	unknown	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	so2638	58
87	78.85%	78.88%	78.97%	78.85%	unknown	nan	nan	unknown	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	amsay99	126
88	78.39%	77.54%	80.36%	78.38%	keras	nan	True	Sequential	9.000000	8023619.000000	nan	3.000000	nan	2.000000	3.000000	nan	nan	nan	nan	nan	1.000000	nan	4.000000	1.000000	str	Adam	32095976.000000	nan	mymstella	146
89	78.39%	77.54%	80.36%	78.38%	unknown	nan	nan	unknown	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	mymstella	147
90	78.16%	77.81%	79.06%	78.15%	keras	nan	True	Sequential	9.000000	8023619.000000	nan	3.000000	nan	2.000000	3.000000	nan	nan	nan	nan	nan	1.000000	nan	4.000000	1.000000	str	Adam	32095976.000000	nan	mymstella	139
91	78.39%	78.04%	78.08%	78.38%	keras	nan	True	Sequential	16.000000	3811619.000000	nan	10.000000	nan	1.000000	4.000000	nan	nan	nan	nan	nan	1.000000	nan	10.000000	1.000000	str	Adam	15249712.000000	nan	mcmurrym	60
92	77.54%	76.93%	77.46%	77.52%	unknown	nan	nan	unknown	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	amsay99	122
93	76.53%	75.94%	75.96%	76.52%	keras	nan	True	Sequential	10.000000	471443.000000	nan	6.000000	nan	1.000000	2.000000	nan	nan	nan	nan	nan	1.000000	nan	6.000000	1.000000	str	Adam	1887848.000000	nan	so2638	127
94	75.91%	75.95%	76.03%	75.90%	keras	nan	True	Sequential	31.000000	18507011.000000	nan	23.000000	nan	1.000000	5.000000	1.000000	nan	nan	nan	nan	1.000000	nan	23.000000	1.000000	str	Adam	74035032.000000	nan	cj2733	209
95	75.91%	75.95%	76.03%	75.90%	keras	nan	True	Sequential	16.000000	30417955.000000	nan	10.000000	nan	1.000000	4.000000	nan	nan	nan	nan	nan	1.000000	nan	10.000000	1.000000	str	Adam	121675048.000000	nan	cj2733	208
96	75.91%	75.95%	76.03%	75.90%	keras	nan	True	Sequential	4.000000	3540899.000000	nan	2.000000	nan	1.000000	nan	nan	nan	nan	nan	nan	1.000000	nan	2.000000	1.000000	str	Adam	14164520.000000	nan	cj2733	210
97	75.52%	74.51%	77.06%	75.51%	keras	nan	True	Sequential	10.000000	999715.000000	nan	6.000000	nan	1.000000	2.000000	nan	nan	nan	nan	nan	1.000000	nan	6.000000	1.000000	str	Adam	4000936.000000	nan	ivster	189
98	75.52%	74.51%	77.06%	75.51%	keras	nan	True	Sequential	10.000000	999715.000000	nan	6.000000	nan	1.000000	2.000000	nan	nan	nan	nan	nan	1.000000	nan	6.000000	1.000000	str	Adam	4000936.000000	nan	ivster	190
99	75.52%	74.51%	77.06%	75.51%	keras	True	True	Functional	128.000000	23593859.000000	nan	53.000000	53.000000	1.000000	1.000000	1.000000	16.000000	1.000000	2.000000	nan	nan	nan	49.000000	1.000000	str	SGD	94416728.000000	nan	ivster	191
100	74.98%	72.35%	80.83%	74.96%	unknown	nan	nan	unknown	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	amsay99	106
101	75.60%	74.11%	77.31%	75.58%	unknown	nan	nan	unknown	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	amsay99	114
102	75.60%	75.08%	74.95%	75.58%	keras	nan	True	Sequential	16.000000	3811619.000000	nan	10.000000	nan	1.000000	4.000000	nan	nan	nan	nan	nan	1.000000	nan	10.000000	1.000000	str	Adam	15249712.000000	nan	vincent	61
103	74.52%	74.46%	79.05%	74.51%	unknown	nan	nan	unknown	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	amsay99	125
104	74.90%	74.41%	76.20%	74.89%	keras	nan	True	Sequential	4.000000	3540899.000000	nan	2.000000	nan	1.000000	nan	nan	nan	nan	nan	nan	1.000000	nan	2.000000	1.000000	str	Adam	14164520.000000	nan	cj2733	194
105	74.90%	74.41%	76.20%	74.89%	keras	nan	True	Sequential	16.000000	30417955.000000	nan	10.000000	nan	1.000000	4.000000	nan	nan	nan	nan	nan	1.000000	nan	10.000000	1.000000	str	Adam	121675048.000000	nan	cj2733	192
106	74.90%	74.41%	76.20%	74.89%	keras	nan	True	Sequential	31.000000	18507011.000000	nan	23.000000	nan	1.000000	5.000000	1.000000	nan	nan	nan	nan	1.000000	nan	23.000000	1.000000	str	Adam	74035032.000000	nan	cj2733	193
107	75.21%	74.63%	74.56%	75.20%	unknown	nan	nan	unknown	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	amsay99	101
108	74.67%	72.59%	77.33%	74.66%	keras	nan	True	Sequential	13.000000	1852707.000000	nan	8.000000	nan	1.000000	3.000000	nan	nan	nan	nan	nan	1.000000	nan	8.000000	1.000000	str	Adam	7413520.000000	nan	halfbaked_em	36
109	74.59%	74.02%	75.31%	74.58%	unknown	nan	nan	unknown	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	amsay99	40
110	74.59%	73.68%	75.59%	74.58%	unknown	nan	nan	unknown	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	amsay99	65
111	74.59%	74.37%	74.54%	74.58%	keras	nan	True	Sequential	6.000000	7119683.000000	nan	nan	nan	5.000000	nan	nan	nan	nan	nan	nan	1.000000	nan	4.000000	1.000000	str	Adam	28480136.000000	nan	vincent	55
112	74.05%	73.88%	73.99%	74.04%	keras	nan	True	Sequential	16.000000	3811619.000000	nan	10.000000	nan	1.000000	4.000000	nan	nan	nan	nan	nan	1.000000	nan	10.000000	1.000000	str	Adam	15249704.000000	nan	eminilkay	201
113	74.05%	73.88%	73.99%	74.04%	keras	nan	True	Functional	23.000000	17074499.000000	nan	13.000000	nan	2.000000	5.000000	1.000000	nan	nan	nan	1.000000	1.000000	nan	14.000000	1.000000	str	Adam	68302344.000000	nan	eminilkay	204
114	74.05%	73.88%	73.99%	74.04%	keras	nan	True	Sequential	16.000000	3811619.000000	nan	10.000000	nan	1.000000	4.000000	nan	nan	nan	nan	nan	1.000000	nan	10.000000	1.000000	str	Adam	15249704.000000	nan	eminilkay	203
115	74.05%	73.88%	73.99%	74.04%	unknown	nan	nan	unknown	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	eminilkay	202
116	74.05%	73.88%	73.99%	74.04%	keras	nan	True	Functional	144.000000	23827459.000000	nan	53.000000	49.000000	2.000000	4.000000	1.000000	16.000000	1.000000	18.000000	nan	nan	nan	50.000000	1.000000	str	Adam	95345640.000000	nan	eminilkay	205
117	73.43%	71.32%	77.86%	73.41%	unknown	nan	nan	unknown	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	amsay99	124
118	74.21%	73.67%	73.62%	74.19%	unknown	nan	nan	unknown	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	amsay99	123
119	73.20%	72.41%	75.63%	73.19%	keras	nan	True	Sequential	10.000000	999715.000000	nan	6.000000	nan	1.000000	2.000000	nan	nan	nan	nan	nan	1.000000	nan	6.000000	1.000000	str	Adam	4000936.000000	nan	so2638	90
120	73.20%	72.41%	75.63%	73.19%	unknown	nan	nan	unknown	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	so2638	91
121	73.82%	73.28%	73.56%	73.80%	keras	nan	True	Sequential	16.000000	3811619.000000	nan	10.000000	nan	1.000000	4.000000	nan	nan	nan	nan	nan	1.000000	nan	10.000000	1.000000	str	Adam	15249712.000000	nan	ivster	45
122	73.90%	73.49%	73.36%	73.88%	keras	nan	True	Sequential	16.000000	41083.000000	nan	10.000000	nan	1.000000	4.000000	nan	nan	nan	nan	nan	1.000000	nan	10.000000	1.000000	str	Adam	167560.000000	nan	mymstella	144
123	73.90%	73.49%	73.36%	73.88%	unknown	nan	nan	unknown	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	mymstella	145
124	73.35%	71.62%	75.06%	73.34%	keras	nan	True	Sequential	11.000000	471443.000000	nan	6.000000	nan	1.000000	2.000000	nan	nan	nan	nan	1.000000	1.000000	nan	6.000000	1.000000	str	Adam	1887848.000000	nan	so2638	128
125	73.04%	73.09%	73.88%	73.04%	keras	nan	True	Sequential	16.000000	3811619.000000	nan	10.000000	nan	1.000000	4.000000	nan	nan	nan	nan	nan	1.000000	nan	10.000000	1.000000	str	Adam	15249704.000000	nan	cj2733	153
126	73.04%	73.09%	73.88%	73.04%	unknown	nan	nan	unknown	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	cj2733	154
127	72.35%	67.37%	79.06%	72.33%	keras	True	True	Functional	220.000000	22032611.000000	9.000000	94.000000	94.000000	2.000000	4.000000	1.000000	nan	1.000000	nan	nan	nan	15.000000	95.000000	1.000000	str	Adam	88180824.000000	nan	MengYang	121
128	72.50%	72.74%	73.37%	72.50%	keras	nan	True	Sequential	16.000000	3811619.000000	nan	10.000000	nan	1.000000	4.000000	nan	nan	nan	nan	nan	1.000000	nan	10.000000	1.000000	str	Adam	15249712.000000	nan	jer2240	35
129	73.20%	72.19%	73.04%	73.18%	keras	nan	True	Sequential	17.000000	508051.000000	nan	10.000000	nan	1.000000	5.000000	nan	nan	nan	nan	nan	1.000000	nan	10.000000	1.000000	str	Adam	2035432.000000	nan	eminilkay	206
130	72.27%	72.26%	73.53%	72.26%	unknown	nan	nan	unknown	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	so2638	89
131	72.42%	72.36%	72.31%	72.41%	unknown	nan	nan	unknown	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	newusertest	3
132	72.42%	72.36%	72.31%	72.41%	keras	nan	True	Sequential	16.000000	3811619.000000	nan	10.000000	nan	1.000000	4.000000	nan	nan	nan	nan	nan	1.000000	nan	10.000000	1.000000	str	Adam	15249712.000000	nan	newusertest	2
133	72.27%	72.26%	73.53%	72.26%	keras	nan	True	Sequential	10.000000	999715.000000	nan	6.000000	nan	1.000000	2.000000	nan	nan	nan	nan	nan	1.000000	nan	6.000000	1.000000	str	Adam	4000936.000000	nan	so2638	88
134	72.04%	70.24%	74.65%	72.02%	keras	nan	True	Sequential	16.000000	3811619.000000	nan	10.000000	nan	1.000000	4.000000	nan	nan	nan	nan	nan	1.000000	nan	10.000000	1.000000	str	Adam	15249712.000000	nan	sm_5271	39
135	72.19%	70.99%	73.62%	72.17%	keras	nan	True	Sequential	16.000000	3811619.000000	nan	10.000000	nan	1.000000	4.000000	nan	nan	nan	nan	nan	1.000000	nan	10.000000	1.000000	str	Adam	15249712.000000	nan	mikedparrott	1
136	70.57%	68.45%	76.11%	70.55%	unknown	nan	nan	unknown	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	amsay99	50
137	72.19%	72.00%	72.17%	72.18%	unknown	nan	nan	unknown	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	ran_liao	71
138	71.96%	71.98%	72.03%	71.95%	keras	nan	True	Sequential	5.000000	7086467.000000	nan	nan	nan	4.000000	nan	nan	nan	nan	nan	nan	1.000000	nan	3.000000	1.000000	str	Adam	28346968.000000	7.000000	lprockop	24
139	71.19%	69.87%	73.22%	71.17%	keras	nan	True	Sequential	16.000000	3811619.000000	nan	10.000000	nan	1.000000	4.000000	nan	nan	nan	nan	nan	1.000000	nan	10.000000	1.000000	str	Adam	15249712.000000	nan	ran_liao	67
140	71.19%	69.87%	73.22%	71.17%	keras	nan	True	Sequential	16.000000	3811619.000000	nan	10.000000	nan	1.000000	4.000000	nan	nan	nan	nan	nan	1.000000	nan	10.000000	1.000000	str	SGD	15249712.000000	nan	ran_liao	69
141	71.19%	71.02%	71.56%	71.17%	keras	nan	True	Sequential	16.000000	3811619.000000	nan	10.000000	nan	1.000000	4.000000	nan	nan	nan	nan	nan	1.000000	nan	10.000000	1.000000	str	Adam	15249704.000000	nan	nslerner	137
142	70.26%	67.79%	73.33%	70.24%	keras	True	True	Functional	22.000000	16779523.000000	nan	13.000000	nan	2.000000	5.000000	1.000000	nan	nan	nan	nan	1.000000	nan	14.000000	1.000000	str	SGD	67122464.000000	nan	vincent	73
143	70.10%	68.97%	72.08%	70.08%	keras	nan	True	Sequential	16.000000	3811619.000000	nan	10.000000	nan	1.000000	4.000000	nan	nan	nan	nan	nan	1.000000	nan	10.000000	1.000000	str	Adam	15249712.000000	nan	MengYang	66
144	69.09%	68.57%	71.88%	69.09%	unknown	nan	nan	unknown	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	mymstella	178
145	69.09%	68.57%	71.88%	69.09%	keras	True	True	Sequential	16.000000	41083.000000	nan	10.000000	nan	1.000000	4.000000	nan	nan	nan	nan	nan	1.000000	nan	10.000000	1.000000	str	Adam	167560.000000	nan	mymstella	177
146	69.56%	69.67%	70.38%	69.55%	keras	nan	True	Functional	128.000000	23593859.000000	nan	53.000000	53.000000	1.000000	1.000000	1.000000	16.000000	1.000000	2.000000	nan	nan	nan	49.000000	1.000000	str	Adam	94416744.000000	6.000000	bobbie8881	29
147	64.21%	54.58%	73.71%	64.19%	unknown	nan	nan	unknown	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	amsay99	113
148	68.32%	65.19%	70.46%	68.30%	keras	nan	True	Sequential	16.000000	3811619.000000	nan	10.000000	nan	1.000000	4.000000	nan	nan	nan	nan	nan	1.000000	nan	10.000000	1.000000	str	Adam	15249712.000000	nan	timnyt	38
149	67.93%	67.25%	70.55%	67.92%	keras	nan	True	Sequential	16.000000	3811619.000000	nan	10.000000	nan	1.000000	4.000000	nan	nan	nan	nan	nan	1.000000	nan	10.000000	1.000000	str	Adam	15249712.000000	nan	so2638	42
150	67.93%	67.25%	70.55%	67.92%	unknown	nan	nan	unknown	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	so2638	43
151	67.47%	67.52%	69.72%	67.46%	keras	nan	True	Sequential	16.000000	3811619.000000	nan	10.000000	nan	1.000000	4.000000	nan	nan	nan	nan	nan	1.000000	nan	10.000000	1.000000	str	Adam	15249704.000000	nan	MengYang	119
152	60.73%	52.33%	75.15%	60.71%	keras	nan	True	Sequential	16.000000	3811619.000000	nan	10.000000	nan	1.000000	4.000000	nan	nan	nan	nan	nan	1.000000	nan	10.000000	1.000000	str	Adam	15249704.000000	nan	cj2733	155
153	66.38%	64.78%	70.93%	66.37%	keras	nan	True	Sequential	16.000000	3811619.000000	nan	10.000000	nan	1.000000	4.000000	nan	nan	nan	nan	nan	1.000000	nan	10.000000	1.000000	str	Adam	15249712.000000	nan	miles_degrazia	48
154	66.15%	57.09%	66.15%	66.13%	keras	True	True	Functional	25.000000	21867987.000000	nan	16.000000	nan	2.000000	5.000000	1.000000	nan	nan	nan	nan	1.000000	nan	17.000000	1.000000	function	Adam	87477176.000000	7.000000	adrianwang	105
155	62.90%	53.50%	67.59%	62.87%	keras	nan	True	Sequential	10.000000	999715.000000	nan	6.000000	nan	1.000000	2.000000	nan	nan	nan	nan	nan	1.000000	nan	6.000000	1.000000	str	Adam	4000936.000000	nan	lprockop	44
156	61.81%	52.67%	69.63%	61.79%	keras	nan	True	Sequential	16.000000	3811619.000000	nan	10.000000	nan	1.000000	4.000000	nan	nan	nan	nan	nan	1.000000	nan	10.000000	1.000000	str	SGD	15249712.000000	nan	vincent	70
157	61.50%	62.11%	64.36%	61.50%	keras	True	True	Functional	128.000000	23593859.000000	nan	53.000000	53.000000	1.000000	1.000000	1.000000	16.000000	1.000000	2.000000	nan	nan	nan	49.000000	1.000000	str	Adam	94416744.000000	nan	hal2148	15
158	64.21%	54.43%	56.01%	64.19%	keras	True	True	Functional	222.000000	23016483.000000	9.000000	94.000000	94.000000	4.000000	4.000000	1.000000	nan	1.000000	nan	nan	nan	15.000000	97.000000	1.000000	str	Adam	92116792.000000	nan	MengYang	135
159	57.71%	57.63%	60.08%	57.71%	unknown	nan	nan	unknown	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	amsay99	108
160	61.19%	50.39%	49.99%	61.17%	keras	True	True	Sequential	9.000000	8023619.000000	nan	3.000000	nan	2.000000	3.000000	nan	nan	nan	nan	nan	1.000000	nan	4.000000	1.000000	str	Adam	32095976.000000	nan	mymstella	182
161	54.84%	48.42%	56.16%	54.81%	keras	nan	True	Functional	22.000000	16779523.000000	nan	13.000000	nan	2.000000	5.000000	1.000000	nan	nan	nan	nan	1.000000	nan	14.000000	1.000000	str	Adam	67122440.000000	nan	mymstella	149
162	54.84%	48.42%	56.16%	54.81%	unknown	nan	nan	unknown	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	mymstella	150
163	58.02%	46.52%	38.86%	57.99%	keras	nan	True	Sequential	13.000000	471635.000000	nan	6.000000	2.000000	1.000000	2.000000	nan	nan	nan	nan	1.000000	1.000000	nan	6.000000	1.000000	str	Adam	1889576.000000	nan	so2638	130
164	52.13%	45.95%	63.62%	52.13%	keras	nan	True	Sequential	16.000000	3811619.000000	nan	10.000000	nan	1.000000	4.000000	nan	nan	nan	nan	nan	1.000000	nan	10.000000	1.000000	str	Adam	15249704.000000	nan	mymstella	142
165	52.13%	45.95%	63.62%	52.13%	unknown	nan	nan	unknown	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	mymstella	143
166	52.36%	47.99%	47.76%	52.33%	unknown	nan	nan	unknown	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	MengYang	133
167	47.33%	38.32%	65.22%	47.33%	keras	nan	True	Sequential	9.000000	8023619.000000	nan	3.000000	nan	2.000000	3.000000	nan	nan	nan	nan	nan	1.000000	nan	4.000000	1.000000	str	Adam	32095976.000000	nan	mymstella	162
168	33.77%	33.78%	33.79%	33.77%	keras	nan	True	Sequential	14.000000	1189155.000000	nan	8.000000	nan	1.000000	4.000000	nan	nan	nan	nan	nan	1.000000	nan	8.000000	1.000000	str	Adam	4759312.000000	nan	emileesmaili	4
169	33.77%	33.78%	33.79%	33.77%	unknown	nan	nan	unknown	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	emileesmaili	5
170	37.88%	26.60%	28.35%	37.83%	keras	nan	True	Sequential	12.000000	471635.000000	nan	6.000000	2.000000	1.000000	2.000000	nan	nan	nan	nan	nan	1.000000	nan	6.000000	1.000000	str	Adam	1889576.000000	nan	so2638	129
171	36.48%	27.44%	24.66%	36.45%	keras	True	True	Sequential	23.000000	19466819.000000	nan	13.000000	nan	3.000000	5.000000	1.000000	nan	nan	nan	nan	1.000000	nan	15.000000	1.000000	str	Adam	77871864.000000	nan	mymstella	175
172	36.48%	27.44%	24.66%	36.45%	unknown	nan	nan	unknown	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	mymstella	176
173	33.00%	32.99%	32.99%	33.00%	keras	nan	True	Sequential	16.000000	3811619.000000	nan	10.000000	nan	1.000000	4.000000	nan	nan	nan	nan	nan	1.000000	nan	10.000000	1.000000	str	Adam	15249712.000000	nan	emileesmaili	6
174	33.38%	16.69%	11.13%	33.33%	unknown	nan	nan	unknown	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	so2638	95
175	33.38%	16.69%	11.13%	33.33%	keras	nan	True	Functional	22.000000	16779523.000000	nan	13.000000	nan	2.000000	5.000000	1.000000	nan	nan	nan	nan	1.000000	nan	14.000000	1.000000	str	Adam	67122440.000000	nan	mymstella	151
176	33.38%	16.69%	11.13%	33.33%	keras	nan	True	Sequential	16.000000	3811619.000000	nan	10.000000	nan	1.000000	4.000000	nan	nan	nan	nan	nan	1.000000	nan	10.000000	1.000000	str	Adam	15249712.000000	7.000000	lprockop	25
177	33.38%	16.69%	11.13%	33.33%	keras	nan	True	Sequential	22.000000	8849187.000000	nan	14.000000	nan	1.000000	6.000000	nan	nan	nan	nan	nan	1.000000	nan	14.000000	1.000000	str	Adam	35401152.000000	nan	so2638	51
178	33.38%	16.69%	11.13%	33.33%	unknown	nan	nan	unknown	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	so2638	54
179	33.38%	16.69%	11.13%	33.33%	unknown	nan	nan	unknown	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	mymstella	152
180	33.38%	16.69%	11.13%	33.33%	keras	nan	True	Sequential	10.000000	226595.000000	nan	nan	nan	7.000000	2.000000	nan	nan	nan	nan	nan	1.000000	nan	6.000000	1.000000	str	Adam	908264.000000	nan	so2638	94
181	33.38%	16.69%	11.13%	33.33%	keras	nan	True	Sequential	26.000000	3821603.000000	nan	10.000000	10.000000	1.000000	4.000000	nan	nan	nan	nan	nan	1.000000	nan	10.000000	1.000000	str	Adam	15294504.000000	nan	timnyt	46
182	33.38%	16.69%	11.13%	33.33%	keras	nan	True	Sequential	26.000000	3821603.000000	nan	10.000000	10.000000	1.000000	4.000000	nan	nan	nan	nan	nan	1.000000	nan	10.000000	1.000000	str	Adam	15294504.000000	nan	timnyt	56
183	33.31%	16.66%	11.10%	33.33%	keras	nan	True	Sequential	16.000000	3811619.000000	nan	10.000000	nan	1.000000	4.000000	nan	nan	nan	nan	nan	1.000000	nan	10.000000	1.000000	str	Adam	15249712.000000	nan	eminilkay	47
184	33.31%	16.66%	11.10%	33.33%	keras	nan	True	Sequential	16.000000	3811619.000000	nan	10.000000	nan	1.000000	4.000000	nan	nan	nan	nan	nan	1.000000	nan	10.000000	1.000000	str	Adam	15249712.000000	6.000000	bobbie8881	30
185	26.49%	21.56%	21.80%	26.47%	keras	nan	True	Functional	25.000000	22089219.000000	nan	16.000000	nan	2.000000	5.000000	1.000000	nan	nan	nan	nan	1.000000	nan	17.000000	1.000000	str	Adam	88362152.000000	nan	Chen	33
186	33.31%	16.66%	11.10%	33.33%	keras	nan	True	Functional	22.000000	16779523.000000	nan	13.000000	nan	2.000000	5.000000	1.000000	nan	nan	nan	nan	1.000000	nan	14.000000	1.000000	str	Adam	67122464.000000	7.000000	lprockop	32
187	33.31%	16.66%	11.10%	33.33%	keras	nan	True	Functional	128.000000	23593859.000000	nan	53.000000	53.000000	1.000000	1.000000	1.000000	16.000000	1.000000	2.000000	nan	nan	nan	49.000000	1.000000	str	SGD	94416744.000000	nan	Chen	31
188	33.31%	16.66%	11.10%	33.33%	keras	True	True	Functional	22.000000	16779523.000000	nan	13.000000	nan	2.000000	5.000000	1.000000	nan	nan	nan	nan	1.000000	nan	14.000000	1.000000	str	SGD	67122440.000000	nan	nslerner	141
189	33.31%	16.66%	11.10%	33.33%	keras	nan	True	Sequential	19.000000	3599267.000000	nan	10.000000	3.000000	1.000000	4.000000	nan	nan	nan	nan	nan	1.000000	nan	10.000000	1.000000	str	Adam	14401728.000000	nan	jer2240	59
190	33.31%	16.66%	11.10%	33.33%	unknown	nan	nan	unknown	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	mymstella	173
191	33.31%	16.66%	11.10%	33.33%	unknown	nan	nan	unknown	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	eminilkay	52
192	33.31%	16.66%	11.10%	33.33%	keras	nan	True	Functional	15.000000	2285955.000000	nan	7.000000	nan	2.000000	1.000000	1.000000	2.000000	1.000000	nan	1.000000	nan	nan	8.000000	nan	CategoricalCrossentropy	Adam	9146472.000000	nan	sdp2158	159
193	33.31%	16.66%	11.10%	33.33%	unknown	nan	nan	unknown	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	so2638	93
194	33.31%	16.66%	11.10%	33.33%	keras	nan	True	Sequential	10.000000	999715.000000	nan	6.000000	nan	1.000000	2.000000	nan	nan	nan	nan	nan	1.000000	nan	6.000000	1.000000	str	Adam	4000936.000000	nan	so2638	92
195	33.31%	16.66%	11.10%	33.33%	keras	nan	True	Functional	22.000000	16779523.000000	nan	13.000000	nan	2.000000	5.000000	1.000000	nan	nan	nan	nan	1.000000	nan	14.000000	1.000000	str	Adam	67122440.000000	nan	mymstella	163
196	33.31%	16.66%	11.10%	33.33%	unknown	nan	nan	unknown	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	mymstella	164
197	33.31%	16.66%	11.10%	33.33%	keras	nan	True	Functional	22.000000	16779523.000000	nan	13.000000	nan	2.000000	5.000000	1.000000	nan	nan	nan	nan	1.000000	nan	14.000000	1.000000	str	Adam	67122440.000000	nan	mymstella	165
198	33.31%	16.66%	11.10%	33.33%	unknown	nan	nan	unknown	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	mymstella	166
199	33.31%	16.66%	11.10%	33.33%	keras	nan	True	Sequential	21.000000	3816611.000000	nan	10.000000	5.000000	1.000000	4.000000	nan	nan	nan	nan	nan	1.000000	nan	10.000000	1.000000	str	Adam	15272088.000000	nan	Rochuz	49
200	33.31%	16.66%	11.10%	33.33%	keras	nan	True	Sequential	6.000000	7119683.000000	nan	nan	nan	5.000000	nan	nan	nan	nan	nan	nan	1.000000	nan	4.000000	1.000000	str	SGD	28480136.000000	nan	vincent	81
201	33.31%	16.66%	11.10%	33.33%	unknown	nan	nan	unknown	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	mymstella	171
202	33.31%	16.66%	11.10%	33.33%	keras	True	True	Functional	22.000000	16779523.000000	nan	13.000000	nan	2.000000	5.000000	1.000000	nan	nan	nan	nan	1.000000	nan	14.000000	1.000000	str	Adam	67122440.000000	nan	mymstella	172
203	33.31%	16.66%	11.10%	33.33%	keras	nan	True	Sequential	9.000000	18898977.000000	nan	3.000000	nan	2.000000	3.000000	nan	nan	nan	nan	nan	1.000000	nan	4.000000	nan	str	Adam	75597408.000000	7.000000	lprockop	116
204	33.31%	16.66%	11.10%	33.33%	keras	nan	True	Sequential	10.000000	1064227.000000	nan	6.000000	nan	1.000000	2.000000	nan	nan	nan	nan	nan	1.000000	nan	7.000000	nan	function	Adam	4258984.000000	7.000000	adrianwang	99
205	33.31%	16.66%	11.10%	33.33%	unknown	nan	nan	unknown	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	Rochuz	53
206	33.31%	16.66%	11.10%	33.33%	keras	True	True	Functional	23.000000	19466819.000000	nan	13.000000	nan	3.000000	5.000000	1.000000	nan	nan	nan	nan	1.000000	nan	15.000000	1.000000	str	Adam	77871864.000000	nan	mymstella	170
207	18.13%	12.01%	9.03%	18.14%	keras	nan	True	Sequential	10.000000	3544611.000000	nan	nan	2.000000	7.000000	nan	nan	nan	nan	nan	nan	1.000000	nan	6.000000	1.000000	str	Adam	14181296.000000	nan	so2638	96
208	nan%	nan%	nan%	nan%	keras	True	True	Functional	222.000000	23016483.000000	9.000000	94.000000	94.000000	4.000000	4.000000	1.000000	nan	1.000000	nan	nan	nan	15.000000	97.000000	1.000000	str	Adam	92116792.000000	nan	MengYang	140
209	nan%	nan%	nan%	nan%	keras	True	True	Functional	222.000000	23016483.000000	9.000000	94.000000	94.000000	4.000000	4.000000	1.000000	nan	1.000000	nan	nan	nan	15.000000	97.000000	1.000000	str	Adam	92116792.000000	nan	MengYang	148